Dynamics 365, data, and AI in production — from a partner that goes deep where it matters, and is honest about the rest.
Who we've worked with
Repeat business across every one of those relationships.
Our mark is drawn with strokes that swell through the middle and taper to nothing at the ends. Thick where it matters. That is the strategy, drawn.
F&O, and CE with Copilot. Implementation, rollout, upgrade and AMS — with the Copilot layer treated as core to the platform, not a switch you flip at the end.
Dynamics 365 →Platforms, pipelines, feature stores and models. The foundation every AI claim rests on, built so the numbers your board sees can be trusted.
Data & AI →In production, evaluated, observable. Judged on trajectory, grounding, UX and safety — not on how well the demo went.
Products →These are one chain, not three bets. D365 generates the enterprise data, data engineering makes it usable, and AI turns it into decisions. Working across all three is what allows the AI layer to be built on data we understand end to end.
D365 F&O and CE, multi-country, with Copilot designed in from the start.
Dynamics 365 →Migrations and production support, with applied AI inside the delivery itself.
What we deliver →Platforms, pipelines and feature stores — the foundation every AI claim rests on.
Data & AI →Models that ship — evaluated, observable, and tied to an outcome.
How we build →Pre-screened specialists against a defined scope — often how engagements begin.
How we work →A straight answer on the estate you have — including when we are not the right partner.
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Data platforms and governance for regulated estates.
Dynamics estates, supply chain, and demand data.
D365 F&O end to end — our deepest module set.
On your real systems, not a demo environment. Week one we agree what success looks like, in writing. Week four there is a go / no-go — and we mean the no-go.
Stakeholder alignment, benefits identified, success criteria agreed.
Architecture, model selection, data pipeline design.
Prototyping against real systems, iterative demos, integration.
Go / no-go, ROI analysis, production roadmap, handover.
We also deliver Oracle EBS and Fusion, SAP, GCC advisory and specialist talent. They are real, they are good work, and several of our longest relationships started there.
They are not what we are asking to be known for. We would rather set that out plainly than present an undifferentiated list of capabilities.
Our engagements are increasingly structured as PODs — small, stable teams accountable for a defined result rather than for filled roles.
Resource augmentation remains how many engagements begin. It is a starting position rather than the full extent of what we do.
How we workWhere an engagement is scoped around capacity, responsibility for the difference between what was delivered and what was required sits with nobody in particular. Where it is scoped around an outcome, it sits with us.
Not "improves efficiency." A number a CFO can check.
A persona-based conversational interface orchestrating across the enterprise applications you already run. 19+ specialised agents, RBAC and audit guardrails built in.
More →Structured AI coding workflow with intent threaded across every role handoff, and a compliance audit trail linking generated code back to requirements.
More →What your estate is actually doing — as opposed to what the architecture diagram claims. The gap between those two is where cost, risk and outage live.
More →Engineering, data and talent operations run from Hyderabad, with active engagements across the UK, the US and the Middle East.
Where we work
Thirty minutes is usually enough for us to tell you whether we are the right partner — including when we are not.
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