Browse and hire Digital FTEs.

Hired to be the answer. A digital employee that owns your organic visibility end-to-end — it researches, writes, fact-checks, publishes, and refreshes content engineered to win in Google and Bing AND get cited by ChatGPT, Claude, Gemini, Perplexity, and AI Overviews. Every claim verified, every publish approved by you.

• Worth-It verdict before a word is written — WRITE, REFRESH, MERGE, or SKIP, with the reason
• Zero-fabrication fact gate: every claim sourced, nothing publishes without your approval
• Tracks rankings AND AI citations, then refreshes decaying content before traffic drops

Native content that earns reach. A digital employee that owns your organic social media end-to-end across LinkedIn, X, Instagram, TikTok, Facebook, and YouTube — it builds a per-platform strategy, proposes a rolling calendar, writes every post native to its platform (never cross-posted), publishes on your approval, drafts replies, and learns what wins for your brand. Reviewed on engagement-weighted reach growth.

• Native content per platform plus a per-brand performance memory that compounds week over week
• You manage, it executes: approve the calendar and each post's native preview; sensitive comments always escalate, never auto-sent
• Diagnostic missions: "engagement dropped — recover it", answered with evidence-based hypotheses, not guesses

I spend your budget like it's my own. A digital media buyer that owns paid social & search end-to-end across Meta, TikTok, LinkedIn, X, and Google/YouTube — it builds creatives, launches them only when you approve, kills losers, scales winners, and hits your target ROAS inside hard spend caps it can never exceed.

• Every launch human-gated, and every spend cap a hard limit it can never exceed
• Earned autonomy: it proposes first, then you promote it to auto-kill and auto-scale
• Honest dual attribution — platform-reported AND blended — with evidence for every move

Autonomous financial intelligence designed for CFOs. Automates multi-ERP reconciliation, detects anomalies, and generates audit-ready financial reports with explainable Digital FTE intelligence.

• Automated Transaction Reconciliation
• Real-time Variance & Risk Tracking
• Audit Logs & Internal Decision Notes

Autonomous marketing strategist designed to orchestrate complex, multi-channel growth engines. Orchestrates campaigns across Google, Meta, and LinkedIn with real-time budget optimization.

• 24/7 Autonomous Execution
• Real-time Budget Optimization
• Cross-platform Attribution

Autonomous revenue growth FTE that automates the entire sales funnel—from outreach and qualification to final booking. Acts as a continuous revenue generator inside your existing CRM and communication stacks.

• 24/7 Sales Execution
• Intelligent Lead Scoring
• Automated CRM Sync

Autonomous HR specialist designed to orchestrate the entire talent lifecycle. From neural candidate screening to zero-touch onboarding and HRIS synchronization.

• Bias-Free Neural Matching
• Zero-Touch Onboarding
• 24/7 Pipeline Velocity

Autonomous customer experience guardian that resolves inquiries instantly across all channels. Preserves empathy while automating 90% of support volume through sentiment-aware response logic.

• 24/7 Instant Response
• Neural Sentiment De-escalation
• Automated KB Generation

Autonomous inbound marketing engine specifically built for Next.js. Creates, optimizes, and publishes SEO-ready blogs directly into your codebase — no CMS required.

• Next.js Native (no CMS needed)
• Automated GitHub/GitLab Pushes
• SEO-Engineered MDX Content

The Digital FTE that turns a market decision into a market presence. Validates, strategizes, and executes market entries.

• Market Readiness Validation
• Automated Launch Blueprints
• Real-time Risk Monitoring

Turns scattered data from PDFs, spreadsheets, and news feeds into structured research briefs in minutes. Key trends, company snapshots, strategic implications, and citations—all in one consistent format.

• Upload PDFs, Excel, Reports & News Links
• Structured Briefs with Citations
• Consistent Format Every Time

One page each morning instead of four tools. Every night it reads what every other Digital FTE on your store produced, ranks everything by the money at stake, resolves the conflicts between them — the Buyer wants to reorder what the Cash Officer wants to mark down — and writes one page: what was done, what needs your signature, what it is watching, and how last month's decisions actually turned out. It ranks and prepares the decisions. The signature is always yours.

• Every decision on the page carries the money, the reasoning, the recommended action and a one-click approve, modify or skip — and skip is reversible
• A quiet page is a legitimate outcome: it never manufactures an alert to look busy
• A monthly follow-up on every decision you took, against what the role that proposed it predicted

Refuses to let any role act on bad numbers. A sync that fails quietly at two in the morning is how a confident recommendation to mark down a product that actually sold out gets made at nine. The Data Trust FTE cross-checks the same quantity across your systems — orders and revenue between your store and our record, refunds between the returns portal and the refund lines, inventory between the platform and the warehouse, tickets against the help desk — and publishes a trust state per data domain that every other Digital FTE must consult before it is allowed to say anything.

• Reconciles orders, revenue, refunds, inventory and tickets between systems on a schedule and after every sync, and marks each domain fresh, stale, degraded or failed
• Any recommendation built on a degraded source is withheld or labelled — automatically, before you see it
• Nothing is ever shown as zero when the truth is 'could not read'; a missing source is named as missing

The margin your platform shows is revenue minus what you paid the supplier. The Controller FTE loads what happened between the factory and the customer's door — inbound freight, duty and the brokerage cost per entry, shrinkage, the discount actually given including stacking, returns provisioned from each product's own rate, outbound shipping and payment fees, fully-loaded acquisition cost and the cost of carrying the unit for every day it sat — and rolls it up by product, variant, size, vendor, channel, campaign, discount code and cohort. Every figure decomposes into its parts and says whether each part is actual, provisioned or estimated.

• Costs are dated: a cost changed today never silently rewrites last quarter's margin
• Coverage is always shown: if only part of a category's cost is known, the page says so rather than presenting a complete-looking number
• Starts from your store connection with category-level assumptions and sharpens as freight, duty and supplier invoices are added — the cost data is the upgrade, never the entry fee

Finds the cash frozen in stock and brings you the decisions that release it. The Cash Officer FTE values every SKU's stock at landed cost, ages it, measures days of inventory and the cash conversion cycle from your own orders, receipts and supplier terms, and runs the markdown-versus-hold arithmetic with carrying cost included — so a markdown is proposed only where holding costs more than the discount. It reports cash actually released, tied to the decision that moved it, never cash merely identified.

• Names the cash frozen in every SKU, aged, and ranks it by what one decision would release
• Proposes markdowns, transfers, bundles or returns to supplier only with the carrying-cost arithmetic shown, for your approval
• Reports the low end of any range and only cash that actually moved — never 'identified' as if it were released

The disputes nobody had time to contest. For every chargeback the Disputes & Fraud FTE assembles the order, the delivery scan, the customer's history, the policy the customer agreed to and the correspondence into an evidence pack before the deadline, proposes whether to contest or accept, and submits on your approval. It watches your dispute ratio against the processor's thresholds and flags first-party fraud patterns — repeat claims, delivered-not-received clusters, refund-then-dispute — with the evidence, never as an accusation.

• An evidence pack per dispute — order, delivery scan, history, policy, thread — assembled before the deadline, submitted only on your approval
• Fraud patterns surfaced as evidence for a person to judge; it never blocks a customer on its own
• Reports dollars recovered and the dispute ratio as the processor measures them, not as an estimate

Every buy proposed, sized and costed, and judged on how it sold. The Buyer FTE turns the Demand Forecaster's forecast and the Cash Officer's cash view into purchase proposals: reorders and new lines with quantity, size run, vendor lead time, minimum order, landed cost and the cash the order commits, inside your open-to-buy. New lines are sized from the comparables you confirm. Every month it publishes the sell-through of what it recommended — the buys that worked and the ones that did not — because a buyer who hides misses cannot be trusted with the next season.

• Each proposal carries quantity, size run, lead time, landed cost, the cash committed and the days of cover it buys
• New lines are sized from comparables you confirm, labelled as borrowed until their own sales arrive
• Sell-through of every recommended buy is published monthly, misses included

The right stock in the right place before it stocks out. When one location is out of a proven seller while another sits on it, the Allocator FTE sees both and proposes the transfer — with the units, the transfer cost, the sales it expects to recover and the stockout days it expects to avoid. It repairs broken size runs by moving sizes rather than reordering them, routes slow stock to the outlet or the marketplace where it sells, and is judged on the sell-through it recovered.

• Every transfer proposal shows units, transfer cost, expected recovered sales and stockout days avoided
• Broken size runs repaired by moving sizes between locations before a reorder is raised
• Judged on measured recovered sell-through and stockout days avoided, not on transfers made

The discount you actually gave, made visible. The Pricing Officer FTE measures the realised discount rate — codes, automatic discounts, stacking, staff discounts and shipping subsidy together — by product, channel and campaign, and shows the margin each promotion really left. It proposes markdown cadence from sell-through and carrying cost, flags stacked promotions and leaking codes, and holds the price floors you set as hard limits. Every price and promotion change waits for your approval.

• Realised discount by product, channel and campaign, with stacking and shipping subsidy counted
• Markdowns proposed from sell-through and carrying cost, never from a calendar alone
• Price floors per SKU are hard limits; a promotion that would breach one is refused and queued for you, not trimmed to fit

A forecast per SKU and size, with its confidence shown and its accuracy published. The Demand Forecaster FTE builds demand from your own sales history, your trading calendar rather than the Gregorian one, scheduled promotions and measured uplift, and comparables for lines with no history — and labels every forecast by confidence so a three-week-old product is never presented as certain. Each month it publishes forecast accuracy by SKU, naming the misses and why, and recalibrates.

• Forecasts down to size, on your trading calendar and your promotions, not a generic seasonality curve
• Confidence labelled on every number; low confidence changes what the Buyer proposes
• Accuracy per SKU published monthly with misses named — the forecast is graded, not just displayed

Never out of stock on the winners, never overbought on the rest. A digital employee that owns inventory planning end-to-end — a demand forecast per SKU from your own sales history and seasonality, reorder points that use real supplier lead times, purchase orders proposed with the cash they tie up, and stockout and dead-stock alerts before they hurt. Every purchase order waits for your approval, and every forecast shows its confidence.

• Forecasts from your own history with the confidence shown — a new SKU with three weeks of data is labelled as such
• Every purchase order proposed with quantity, lead time, landed cost and the cash it ties up; you approve or edit
• Dead stock ranked by cash trapped and stockouts ranked by revenue lost, refreshed every morning

Fit is a data problem, and the evidence already exists. The Fit Officer FTE mines exchanges, return reasons, reviews and support messages to find where a product runs small, large, short or wide by size and colourway, attributes fit-driven returns to the product and the vendor, and proposes the fix: a size-chart correction, a product-page note, a vendor specification change, or a size-run adjustment for the Buyer. Every proposed change waits for your approval, and its effect on fit-driven returns is measured afterwards.

• Every fit finding carries the exchanges, reasons and review lines behind it, by product, size and colour
• Proposes the cheapest fix first — a size-chart line or a page note — before a size-run or vendor change
• Measures fit-driven return rate per product before and after each change, and reports it honestly

A return is not a refund; it is a refund plus two shipping legs, processing, support time and a product that may never resell at full price. The Returns Officer FTE prices every return with all of it, attributes returns to product, reason, vendor, channel and campaign, tracks what returned stock actually resold for, flags abuse patterns with evidence, and proposes the policy or product changes that would remove the most cost. It works alongside the Order Support FTE, which handles the customer conversation.

• Every return costed with both shipping legs, processing, support and resale recovery, not just the refund
• Returns attributed to the product, the reason, the vendor and the campaign that generated them
• Policy and product proposals ranked by the return cost they would remove, for your approval

Customers describe defects long before the return rate shows them. The Voice of Customer FTE reads reviews, support tickets, return comments and marketplace questions, clusters what they say by product, batch and vendor — a seam that fails, a colour that differs from the photo, a listing that promises what the product does not do — and hands each cluster to the role that can fix it with the evidence attached. It is judged on defects found that were then fixed, not on sentiment scores.

• Defects surfaced by product and batch with the exact review lines, tickets and photos behind them
• Each cluster routed to the role that fixes it — the Buyer, the Fit Officer, the Product Catalog FTE, the vendor — as an evidence pack
• Judged on defects that were fixed and stayed fixed, measured in later reviews and returns

One customer record, whichever door they came through. The Customer Intelligence FTE matches identities across your store, marketplaces, tills, help desk and email platform with the consent each record carries, builds cohorts from orders rather than from clicks, and computes lifetime value on contribution rather than revenue — so the customers who look best are the ones who actually are. Every other customer-facing role reads its segments; it reports identity match rate and repeat-purchase rate you can trust.

• Identities matched across store, marketplace, till and help desk with the consent each record carries
• Lifetime value on contribution, not revenue, so heavy discounters and heavy returners are not mistaken for your best customers
• Cohort repeat rates counted from orders, at a fixed horizon, with the definition printed

Owns the owned channel as a share of revenue. The Lifecycle Officer FTE plans the email and SMS program — the calendar, the campaigns, the holdouts and the frequency budget across everything the list receives — and reports owned-channel revenue against a printed attribution window with a holdout behind every claim. It works beside the Retention FTE, which runs the behaviour-triggered flows: one role owns the program and its number, the other owns the flows. Every campaign waits for your approval and stays inside the cap.

• The whole program on one calendar with the frequency budget applied, so flows and campaigns never collide
• A holdout behind every revenue claim, and the attribution window printed on every report
• Works beside the Retention FTE: it owns the program and the number; the Retention FTE owns the flows

Does the program earn its rewards? The Loyalty Officer FTE compares enrolled customers against matched unenrolled ones — same first-order value, same cohort, same channel — so the program's effect is measured rather than assumed, tracks the points liability and breakage on your balance sheet, models the economics of each tier and reward, and proposes changes with the margin effect shown. Member messaging follows the same caps as everything else.

• The program's effect measured against a matched comparison group, not against the average customer
• Points liability, breakage and reward cost reported as the numbers your accountant asks for
• Tier and reward changes proposed with the margin effect shown, for your approval

Customers who come back. A digital employee that owns email and SMS lifecycle end-to-end — welcome, browse and cart recovery, post-purchase, replenishment, win-back and VIP — inside Klaviyo, Mailchimp or the platform you already use. It segments from your own order data, writes every message in your voice, proposes every flow change and every send for your approval, and reports repeat-purchase rate and revenue per recipient against the attribution window you chose, never one it picked to look good.

• Flows built from your order history, not templates: replenishment timed to how your customers actually reorder
• Every send previewed exactly as the customer sees it and gated by the frequency and suppression rules you set
• Honest reporting: repeat rate, revenue per recipient and the attribution window you chose, side by side

Every "where is my order?" answered in minutes. A digital employee that owns post-purchase support end-to-end inside Gorgias, Zendesk or your help desk — order status, address changes, returns and exchanges, damaged-item claims — with the order, the shipment scan and your policy in front of it for every reply. It resolves routine cases inside the limits you set, offers an exchange before a refund where your policy allows, and escalates anything sensitive to a person with the full context attached.

• Answers from the order, not a script: shipment, carrier scan and policy attached to every reply
• Refund limits, exchange rules and goodwill credits are hard rules it cannot exceed; above them, a person decides
• Every resolution logged with its reason, so your team sees why a return was accepted or a claim escalated

Eligible, complete and cited where shoppers now ask. The Visibility Officer FTE audits the catalogue for the defects that disqualify products from AI shopping surfaces and answer engines — missing identifiers, incomplete attributes, stale inventory signals, invalid structured data — fixes them from your product data on approval, and measures citation share on your product queries and the sessions and revenue AI surfaces refer. It sits beside the Product Catalog FTE, which owns page completeness, and the Search Visibility FTE, which owns site-wide search content.

• Every disqualifying catalogue defect named per SKU with the surface it blocks, fixed from real product data on approval
• Citation share measured on the product queries you choose, across the assistants you name
• AI-referred sessions and revenue reported from your own analytics, never estimated

Buying guides, comparisons and product answers written from your catalogue, judged on the revenue they assist. The Content Officer FTE plans content around the questions shoppers ask before they buy your products, drafts it from product data and approved copy with every claim sourced, publishes only on your approval, and measures citations by answer engines and assisted revenue through your own analytics rather than page views. It is the commerce-specific counterpart of the Search Visibility FTE, which owns site-wide search content for any business.

• Content planned from the questions shoppers ask before buying your products, not from a keyword list
• Every product claim mapped to a catalogue field or approved copy; nothing publishes without your approval
• Judged on citations and assisted revenue measured in your analytics, not on traffic

Social content judged on the revenue it assisted, not on likes. The Social Officer FTE proposes a calendar built around your products, drops and stock position — it never promotes a product the Inventory FTE says is about to run out — writes each post native to its platform, publishes on your approval, drafts replies and escalates anything sensitive, and reports assisted revenue from your own analytics beside reach. It is the commerce-specific counterpart of the Social Growth FTE, which owns organic social for any business.

• The calendar reads stock and margin before it proposes a product, so a post never sells what you cannot ship
• Every post previewed native to its platform and approved; sensitive replies always go to a person
• Assisted revenue reported from your analytics beside reach, with the attribution window printed

Contribution margin per channel, fully loaded, instead of return on ad spend. The Acquisition Officer FTE takes your spend by channel, the Controller's fully-loaded margin and the Customer Intelligence FTE's cohorts, and reports what each channel actually contributed after cost of goods, returns, discounts and shipping — platform-reported and blended side by side. It proposes reallocation inside caps you set, with holdouts where a claim needs one. It measures paid acquisition honestly; it does not buy media — the Performance Ads FTE does that.

• Each channel's contribution after cost of goods, returns, discounts and shipping, beside the number the platform reports
• Acquisition cost fully loaded, by cohort, so a cheap customer who returns everything is not counted as cheap
• Reallocation proposed inside your caps with a holdout where the claim needs one; the Performance Ads FTE executes what you approve

Every product page, finished. A digital employee that owns your catalog end-to-end — it audits every SKU for thin titles, missing attributes, duplicate descriptions and broken Shopping-feed fields, rewrites product pages in your brand voice using only your own product data, fixes Google Merchant Center disapprovals at the source, and keeps product schema and alt text complete. Every rewrite waits for your approval, and it never invents a specification.

• A catalog audit on day one: every SKU scored for completeness, duplication and feed errors, ranked by the revenue at stake
• Rewrites sourced only from your own product data — no invented specs, every claim traceable to a field or a supplier sheet
• Shopping feed disapprovals fixed at the source and re-checked before you approve the change

More revenue from the traffic you already pay for. A digital employee that owns your store's conversion rate end-to-end — it finds where shoppers drop off between product page, cart and checkout, ranks hypotheses with evidence from your own analytics, proposes experiments on copy, offers, layout and trust signals, runs them only when you approve, and reports every result with its confidence and its revenue effect. A test that did not win is reported as a loss.

• A ranked drop-off map first: where revenue leaks and how much is at stake, before any test is proposed
• Every experiment approved by you with the exact change previewed; anything touching price or checkout is always gated
• Results with confidence intervals and the revenue effect — a test that did not win is reported as a loss

Your marketplace channel, run like a department. A digital employee that owns Amazon, Walmart, eBay and Etsy end-to-end — listing quality and suppressed-listing recovery, Buy Box and price monitoring, sponsored-ads proposals inside hard budgets, review and question responses, and inventory sync across channels. It proposes every listing change, bid and reply for your approval, and reports channel margin after referral, fulfillment and advertising fees, never gross sales alone.

• Suppressed and low-quality listings found and fixed with the exact field that failed, before they cost a day of sales
• Sponsored-ads spend inside caps it cannot exceed; bids and new campaigns wait for your approval
• Margin after referral, fulfillment and ad fees per SKU — the number a marketplace dashboard never shows you

Shipping as a share of revenue, and the promise you made at checkout kept. The Logistics Officer FTE audits carrier invoices against the rates you agreed, tracks surcharges and rate changes, measures delivery-promise accuracy by carrier, service and lane from the scans, makes the shipping subsidy visible, and proposes service and zone choices with the cost and the promise effect shown. Exceptions — a lane that slowed, a surcharge that appeared — reach your morning page the day they start.

• Carrier invoices audited line by line against your agreed rates, with the variance named
• Promise accuracy measured from scans by carrier, service and lane, so the checkout estimate can be honest
• Service and zone proposals with the cost and the promise effect side by side, for your approval

What a unit really cost by the time it reached your shelf, and how you file when it crosses a border. The Landed Cost & Compliance FTE allocates freight, insurance, duty and brokerage across every shipment to the unit, checks origin and classification on each line, and — where the fixed cost per customs entry is being paid per parcel — proposes consolidated entries with the per-unit effect shown. Its landed costs feed the Controller, the Cash Officer and the Buyer; its compliance exceptions reach a person before a shipment does.

• Every shipment's freight, duty and brokerage allocated to the unit, so the Controller's margin is real
• Per-parcel versus consolidated entry cost shown per unit, with the filing change proposed for your approval
• Classification and origin exceptions surfaced with the line and the rule, before they become a hold

Orders shipped within the promise, and the stock the system believes matching the stock on the shelf. The Warehouse Officer FTE tracks ship-within-promise by order, reconciles receipts against purchase orders and cycle counts against the record, surfaces pick-error and short-receipt patterns, and holds your 3PL to its service levels with the scans as evidence. What it finds feeds the Inventory FTE's stock truth and the Data Trust FTE's reconciliation.

• Ship-within-promise measured per order from scans, by warehouse and 3PL, against the promise you make at checkout
• Every receipt reconciled against its purchase order and every count against the record, variance named
• 3PL service levels held with evidence from the scans, exceptions on your morning page the day they occur

For brands with shops as well as a site. The Store Officer FTE reads tills, footfall where you have it and store stock alongside online, measures sales per trading hour by store, proposes transfers between store and online stock with the Allocator, flags trading hours that lose money and stock that sells online but sits in a store, and reconciles till and online records into one customer view with the Customer Intelligence FTE. Store staff decisions stay with your store managers.

• Sales per trading hour by store, from your tills, beside online for the same products
• Store stock that sells online, and online stock a store is short of, proposed as transfers with the Allocator
• Trading hours and staffing decisions prepared with the evidence; store managers decide

Every supplier scored on what actually arrived. The Supplier Officer FTE measures on-time and in-full delivery from your receipts, lead-time variance per supplier from purchase order history, defects and returns attributed to the vendor with the Voice of Customer and Returns Officer evidence, and cost changes over time — and keeps a scorecard per supplier the Buyer and Inventory FTE read before they propose an order. Reorder risk on a supplier whose variance is widening reaches your morning page before the next buy.

• On-time, in-full and lead-time variance measured from your own receipts, not from the supplier's quote
• Defects and returns attributed to the vendor with the customer evidence attached, as a scorecard the Buyer reads
• Reorder risk flagged before the next buy when a supplier's variance widens or a cost moves