CERCLE
Our promise

From strategy to production.One partner. No handoffs.No hype.

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We don't chase trends. We build systems that run in production —
reliable, scalable, and built for the long term.
A line ends. A circle doesn't.

Our thesis

We use AI to build AI.

AI earns its value inside a business process — running horizontally across departments, systems and roles. So do we. CERCLE takes the whole thread: from the decision at board level to a governed system in production — and stays through operation.

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Our ethos

A line ends.
A circle doesn't.

Enterprise AI rarely fails in the model. It fails between the strategy and the build, and between go-live and the people who inherit the system. CERCLE is built to close that circle. The strategy we write is the system we engineer, govern and operate: we define the path, build the hard part, and remain accountable for it in production.

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Frame & Architect

01 / 04

The business case and what success measurably means, then the target architecture over your existing estate — data readiness, integration, agent tiering, security and cost. Architecture before tools.

Build

02 / 04

Production engineering across the stack — multi-agent orchestration, MCP servers, services and APIs — on low-code and pro-code platforms, each where it earns its place.

Govern & Operate

03 / 04

Governance generated alongside the build — classification, DPIAs, audit trails, EU AI Act alignment — then run in production: IaC, CI/CD, monitoring, evaluation and cost-per-outcome telemetry.

Enable

04 / 04

Your team learns to run and extend what we build. Enablement is part of delivery — the dependency on us is a choice, never a lock.

Our focus

Complex applications. Enabled teams. A platform that runs.

Three disciplines, delivered as one system on the Microsoft enterprise stack. Each has value on its own; together they take AI into production and keep it there.

Complex applications

Multi-agent systems

Orchestrated agents that execute real workflows, with scoped permissions, a decision log for every action and human approval above a defined risk level.

AI applications & copilots

Production AI built into the processes and systems your people already use, in Foundry, Copilot Studio or custom code, whichever the job needs.

Integration & MCP

Governed MCP servers and shared APIs that connect agents to your enterprise systems under controlled identity, access and audit.

Enabled teams

Citizen development

Business teams building their own agents and apps on Power Platform and Copilot Studio, inside guardrails your IT sets.

Enablement programmes

From executive briefings to hands-on agent engineering over your own data. More than 200 professionals trained so far.

AI operating model

The structure to run AI as a capability: intake and prioritisation, delivery tiers, reusable components and a centre of excellence.

A platform that runs

Azure & Foundry platform

Landing zone, identity, networking and model access, configured on Azure and connected to your enterprise data.

Governance & compliance

Risk classification, DPIAs, audit trails and EU AI Act alignment, produced alongside the build and ready for review.

Evaluation & operations

Evaluation with pass/fail ship thresholds, monitoring, and cost per outcome reported to the people who pay for it.

Selected outcomes

Delivered in production, not in a slide.

01 / 06
Automation

Document processing at scale

AI reads, extracts and routes high-volume documents such as invoices, forms and transcripts. People review only the exceptions, with processing time targeted to fall by more than 60%.

Scale

Multi-market AI rollouts

A central AI function running production agents across several regions and markets. New agents are assembled from shared, proven components, with governance mapped to each jurisdiction.

Multi-agent

Requests handled at source

Inbound requests are read, classified and turned into actionable tasks, checked against core business data before anyone opens them. Every agent action is logged.

Voice

Voice agents for routine calls

Voice agents that handle routine customer calls in the local language. Hosted in-region on private networks, so data-protection requirements are met before go-live.

Insight

Answers and diagnostics

An AI platform that answers user questions and diagnoses problems from images. Built-in analytics report adoption, answer quality and business value to leadership.

Accuracy

High-volume matching

AI matching of complex opportunities, above 99% processing success in proof of concept. The pipeline now extends into forecasting and quality assessment.

Who we work with
For CIOs & business leaders

Does it deliver value?

Yes — measurably. Every system ships with a measurement layer: adoption, answer quality, and cost per outcome, reported to the people who paid for it.

Measured, not promised.

01

So value is a number you can defend — not a feeling.

It runs where you do.

02

No new platform to adopt, no black box to trust.

Audit-ready.

03

The audit trail exists before anyone asks for it.

Why CERCLE

Most enterprise AI never leaves the pilot.

01 / 04
40%+

Built for the other side of the number

Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027, on cost, unclear value or weak risk controls. We design against all three from the first session.

200+

Taught, not just talked

We've taken 200+ professionals from awareness to building agents over their own data. Explaining a system to a sceptical room is the strongest test of understanding it.

16+ years

Business and technology, same heads

Sixteen-plus years shipping for global enterprises, by people who have also run businesses and answered for the outcomes.

Day 1

Audit-ready from day one

DPIAs, audit trails and EU AI Act alignment are produced with the build, so the documentation exists the day the system does.

Certified across the Microsoft AI & architecture stack. Source for 40%+: Gartner press release, 25 June 2025.

Industry is a parameter

The same capability, shipped across sectors.

  • Banking & finance
  • Logistics & supply chain
  • Manufacturing
  • Telecommunications
  • Pharma & life sciences
  • Agri-tech
  • Media & retail
  • Public sector

Close the loop.

One accountable partner across the whole thread — the people who framed the business case are the people debugging in production. Book a strategy call and we'll map the first process worth taking to production.