What transformation actually looks like.
Not a strategy deck and not a pilot. Engineers inside your team, agents wired into your systems of record, and a handover that leaves your people able to build the next one.
One engagement, four stages, one outcome.
We take a single workflow from absent to running in under 90 days, then repeat it until your team no longer needs us. The platform is stood up in your environment on the way through, because that is the part you keep.
We start with a number, not a roadmap
Two weeks mapping workflows against transaction volume, exception rates and what the errors cost when they escape. You leave with a ranked list and a defensible figure against each line, whether or not you continue.
The platform is yours from day one
Model gateway, retrieval over your own systems, evaluation harnesses and audit logging, all inside your environment. Nothing is rented and nothing phones home.
One agent, in production, behind a gate
Real transactions, human approval on every consequential action, and a rollback path defined before go-live rather than after an incident.
Then we leave
The POD structure is installed, the runbooks are written, and your engineers build the second agent. You should never need us to change a prompt.
How the team embeds.
Not a statement of work executed at arm's length. Our engineers work inside your organisation on your systems, and the structure they leave behind is the one that produced the numbers on our about page.
In your standups, on your tickets
Same board, same rituals, same definition of done. You see progress the way you see your own team's, not in a fortnightly status call.
Paired, not siloed
Your engineers sit with ours from the first sprint. The knowledge transfer is the work, not a document produced at the end of it.
The engagement is designed to end
Step four exists so you outgrow us. We would rather hand over than hold a retainer nobody can justify.
The POD
1
Lead
Owns the domain end to end and the relationship with your side.
1
Product owner
Holds the business logic and decides what an agent may never do.
2
Full-stack AI developers
Build, evaluate and ship the agents themselves.
Deliberately small: it covers business delivery and product direction in one unit rather than staffing engineers and hoping ownership emerges. Small enough to hold context, large enough to ship without waiting on anyone.
Agents already doing the work.
Six agents built and running against real transactions. These are examples of what gets built, not a catalogue you pick from, and every one is rebuilt around how your business actually operates.
Sterling
Working capital
Reads receivables and payables from the ERP, narrates the cash position daily, and drafts collection sequences ranked by recovery odds.
- Daily cash position, written not charted
- Collections ranked by recovery odds
- Disputed invoices held back automatically
- Promise-to-pay tracked to the date
Clark
Payables
Extracts vendor invoices from any format and posts the payable straight into SAP or NetSuite, with duplicate detection before anything is released.
- Any format: PDF, scan, portal or email body
- Duplicate and near-duplicate detection
- Three-way match with tolerance rules
- Charges checked against the contract, not just the PO
- Coding proposed from history, not guessed
Tally
Reconciliation
Balances sub-ledgers to the GL line by line and hands back a clean exception list instead of a spreadsheet nobody wants to open.
- Runs continuously, not at month-end
- Variance commentary drafted for review
- Accrual proposals with support attached
- Break aging, so nothing sits unexplained
Chandler
Procurement
Runs RFQ to PO with multi-vendor negotiation across email, SMS and voice, then holds suppliers to the pricing schedule they agreed to.
- Multi-vendor RFQ across channels
- Contract terms extracted and monitored
- Price variance flagged against schedule
- Award recommendation with the math shown
Swift
Order management
Turns inbound customer purchase order PDFs into clean sales orders in minutes rather than days, flagging only what genuinely needs a decision.
- PO document to sales order in minutes
- Pricing and terms validated on intake
- Only true exceptions routed to a person
- Acknowledgement sent the same hour
Quill
Quotes & CRM
Reads every inbound enquiry, prices it against your rules, and drafts the quote in your CRM so a rep is editing rather than starting cold.
- Every enquiry read, none dropped
- Priced against your own rule set
- Drafted in the CRM, ready to edit
- Follow-up scheduled and tracked
Your agents are built around your organization.
The way you price, route, approve and escalate is years of accumulated judgment, and it's a real advantage. It belongs to you and it stays with you, we're not asking you to hand over your playbook or fit yourself into someone else's template. We start from how your business already works, encode that logic into agents built for your environment, and leave you with an operation that runs faster with exactly the things that make you good at it still intact.
Every agent stops at an approval gate until it has earned its way out of one. Nothing releases cash, commits spend or touches a customer without a person saying so.
The difference is execution.
Plenty of tools will summarize a report or draft an email about a problem. An agent goes and resolves it. Receivables shows the difference clearly, because every business runs it. Both columns end in the same place, with a person releasing the money.
Receivables → cash · assisted
- Pull the aging report out of SAP by hand
- Guess which accounts to chase first
- Chase across scattered email threads
- Reconcile remittances line by line
- See the true cash position at month-end
Receivables → cash · agent-run
- Aging and payables read live from the ERP
- Cash position narrated every morning
- Collection sequences drafted, prioritized by risk
- Remittance exceptions listed, not hunted
- Human approves and releases
Bring us one workflow.
Thirty minutes, no deck. Pick the process that costs you most in people, errors or delay, and we'll pressure-test whether an agent is genuinely the right answer for it.
- An honest read on whether that workflow is a good agent candidate
- What the first deployment would involve, and roughly what it costs
- An honest answer if the sequencing is wrong and you should fix something else first