Governed AI labour. An SLA on the last mile.
For ops and compliance leaders who need volume handled and exceptions owned. You are not buying seats. You are buying a control plane plus the people who take the cases the model cannot.
Who this is for.
Heads of operations, compliance, and back office — teams sitting on document queues, review loops, and reconciliations that are too big for a specialist desk and too risky to fully automate.
First industry cut: fintech KYC / compliance ops. More ICPs when Boss names them.
Starter ICP — first-cut landing for fintech KYC / compliance ops. Working draft for Boss to swap. No customer logos. No invented hit-rate metrics.
- Seat-BPO (bodies on a shift roster with a model sticker)
- Mid-level or C-level recruiting products
- Manpower, visa, or Permit-Ready offers — those stay at ISHC
- Unverifiable neural / hit-rate marketing
How we talk about an SLA without inventing a number.
The Outcome promise is ownership. Metrics belong in a scoped agreement against a real queue — not on a homepage.
Named exception classes
We write down what the model may close, what a human must touch, and what escalates. If we cannot name the exceptions, we will not pretend we have an SLA.
Audit artifacts
Every closed case leaves a trail: inputs, decision, owner, timestamp. FinGuard-shaped packs for reviewers — not a screenshot of a chat.
Human ownership
Exceptions have a desk, not a prompt. Outcome BPO means someone at Xeres is accountable when the queue is wrong or late.
Scoped commitments
Turnaround, coverage window, and reporting are set per engagement. We do not publish a generic accuracy percentage. If it is not in the SOW, it is not a claim.
The Outcome stack.
AssistIQ, CoreOps, FinGuard, and TechPulse are the named modules we operate. DeployAI-class planning sits underneath as the control plane that sequences work — described here as architecture, not a scored “neural” product.
Intake & assisted resolution
Queues incoming work, drafts a first pass, and routes what a human must own. Built for volume that still needs a named exception owner.
Back-office workflow
The operating loop: handoffs, approvals, status, and a single record of what happened. Replaces the spreadsheet-plus-chat pile.
Controls & audit packs
Reconciliations, checklist evidence, and close artifacts. The point is a reviewable trail — not a black-box “AI said so.”
Telemetry & exception routing
What is stuck, aging, or failing SLA. Surfaces the queue so operators intervene before the client does.
Tell us the queue that is breaking.
We will say whether Outcome BPO or AI automation is the right cut — and what we would own. No seat quotes. No manpower pitch.
Talk to us →