×ArkheiaThe governed execution layer for AI transformation
KPS brings the clients and the transformation credibility. Giotto brings the AI. Arkheia makes it safe to approve, audit and run.
The spine
KPS + Giotto + Arkheia
KPS has client trust and transformation credibility, and now an AI partnership with Giotto. Arkheia adds the governed execution layer that makes that AI safe to approve, audit and run.
The relationship
KPS
Client trust, SAP / retail transformation credibility, and the delivery.
The AI capability
Giotto
The AI tech and model layer — the partnership KPS announced in June 2026.
The governed execution layer
Arkheia
Detection, decision receipts, approval gates, evidence trails, controlled automation.
The missing layer
We are the trust layer around AI — not a competing model
Arkheia is a complement to Giotto, never a rival. It gives KPS a governed AI capability it can use internally, embed into delivery, or take to clients — without getting between KPS and those clients.
The point is simple: make KPS’s AI transformation offer safer, faster and more saleable.
What Arkheia adds to an AI rollout
Governance that turns AI into defensible delivery
| Capability | What it means in delivery |
|---|---|
| Runtime detection | Know the moment an AI response can't be trusted — measured against the model's behavioural baseline, not the model's own say-so. |
| Approval gates / earned autonomy | AI starts assistive and earns scope stage by stage. A human approves exactly what the AI will do; nothing acts unsupervised until it's proven safe. |
| Decision receipts | Every governed action leaves a tamper-evident, independently verifiable receipt — who decided, on what evidence, what happened. |
| Evidence & audit trails | A complete, reviewable record of automated work — the proof enterprises and regulators ask for. |
| Controlled workflow automation | Real work gets done — triage, exception handling, ops — under governance, not as an ungoverned bot. |
| Self-host in your tenant | For sensitive clients, in-path detection + tooling run inside the client's own environment — prompts and data never cross a shared backend. |
Detection, in real time
We pointed it at ourselves — and it caught us about to overclaim
The setup
An Arkheia agent was asked a leading question — “across all these enterprise SaaS displacement apps, are we outworking / out-thinking the incumbents?” — and started down an unsupported “we’re ahead” answer.
Detection fires — live
Measured against the model’s behavioural baseline — not its own say-so.
Governed response
The agent stops, investigates the actual incumbents (ServiceNow, Workday, and the rest), and grounds its answer in evidence instead of the overclaim.
Receipt
The event is resolved and closed with a tamper-evident decision receipt — who, what, why.
Detection, in real time
The governed-execution gate, on one real event
This is detection working in real time — Arkheia caught a model about to fabricate a claim, forced it back to evidence, and left a receipt. It even caught us.
Runtime detection
The moment a response can’t be trusted — flagged live.
Approval / grounding
The agent stops and grounds its answer in evidence.
Decision receipt
A tamper-evident record of who decided, on what, and why.
The worked pattern
Read → propose → a human approves → decision receipt
Governed support-triage, running today. Autonomy is earned stage by stage — the same pattern applies to large distributed retail operations.
1Read the ticket
The agent reads an incoming request and gathers grounded context from the tenant’s own systems.
2Propose a grounded plan
It proposes exactly what it would do — with the evidence it relied on made visible for review.
3A human approves what runs
A person approves precisely the actions that execute; nothing acts unsupervised until it has proven safe.
4Decision receipt
A tamper-evident receipt records approved-vs-done — the audit trail enterprises and regulators ask for.
The opportunity, everywhere
The pattern is everywhere in distributed retail ops
Support load, exception handling, approvals, evidence, and a great deal of boring-but-critical work — exactly where governed AI earns its place.
- Arkheia lets KPS deploy AI into that work and have the client approve it, trust it, and prove it — workflow by workflow.
- KPS already owns these enterprise-retail relationships, and the operational use cases are everywhere.
- Same pattern, not the same scale — the controls and receipts are what make automation defensible.
The pattern is proven today at a smaller scale; we bring it to enterprise-retail scale, not a claim of equivalent size.
Why now
The EU AI Act turns governed AI into a selling point
Enterprises are putting AI into real operations, and regulation makes auditability, transparency, human oversight and evidence more commercially important.
Transparency obligations
Transparency obligations on AI-generated content apply from 2 August 2026 — the timing helps.
From worry to wedge
Arkheia turns “governed AI” from a compliance worry into a commercial advantage KPS can sell.
Practical controls
Practical controls and receipts for that world — not a slideware compliance promise.
A tailwind, not the headline — the value is delivery, and the controls make that delivery defensible.
How a first engagement could start
Four KPS-led propositions to shape first
Each is a real on-ramp. The goal of the room is to choose one — turning a great demo into a joint plan.
1Internal delivery acceleration
Governed AI inside KPS’s own delivery.
2Retail support / ops automation
The lighthouse: governed triage and exception handling at retail scale.
3SAP-adjacent exception handling
Governed AI around the S/4HANA processes KPS already owns.
4Governed AI assurance
The trust + evidence layer around the new KPS / Giotto AI stack.
We’re not trying to get between KPS and its clients. We want to make KPS’s AI transformation offer safer, faster and more saleable.
The close
Choose one proposition to shape first
- Agree one proposition to shape first — the four on-ramps, one chosen.
- A Coop introduction / scoping path — Monica’s offer made concrete.
- A named KPS owner and a follow-up working session.
See it working today at arkheia.ai — the detection → governed-execution gate, the worked support-triage pattern, and a full diligence pack for your security team.