AI strategy & portfolio
From "we should do something with AI" to a funded portfolio. Prioritized against outcomes, sequenced by dependency, sized for delivery.
Practice 04 · AI & Automation
AI-native
AI-native
by design.
Not bolted on. Not retrofitted. We build AI and automation into transformation from day one — with the rigor of enterprise IT, not the fragility of a proof of concept.
Why this exists
The PoC graveyard is crowded enough.
Every enterprise now has a slide deck of AI pilots. Very few have AI in production. The gap is not the model — the gap is the rigor: data boundaries, identity, observability, change management, a clear owner on Monday morning.
We design AI and automation into the transformation from the first whiteboard. The agent has a role in the operating model. The copilot has a security posture. The workflow has a human escalation path. What ships is what scales.
A pilot that never reaches production is not a learning — it is a line item.
What we cover
Agents. Copilots. Processes redesigned.
Agentic workflows
Multi-step, tool-using agents deployed inside real enterprise systems. Scoped to a process, not a demo.
Enterprise copilots
Domain-specific copilots over your ERP, your data platform, your knowledge base. Identity-aware, audit-logged, guardrailed.
Intelligent process redesign
Processes rebuilt around what AI now does well — not yesterday's SOPs with a chatbot pasted on top.
Automation fabric
Integration, orchestration, event-driven plumbing. The unglamorous layer where AI initiatives actually live or die.
Governance & safety
Data handling, model access, prompt auditability, human-in-the-loop design — built in, not added after a press cycle.
How we build
Production first. Demo last.
We do not chase the model du jour. We pick stacks that will survive the next vendor cycle. We write evals before we write prompts. We put agents behind identity before we put them in front of users.
What we ship is deployable, observable, and owned. When we leave, a named operator on your side can explain every call the agent makes — and change it.
Typical engagements
Where we've been hired.
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01
AI portfolio & roadmap From one hundred ideas to a funded portfolio of ten — with expected value, delivery cost, and owner each named.
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02
Agentic HR ops Employee lifecycle actions driven by agents inside Workday and adjacent systems — with audit and override paths.
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03
Finance close copilot A domain copilot that helps close the books — reconciliations, variance explanations, journal drafting, human sign-off.
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04
Knowledge & support copilot Internal knowledge + ticketing, answer-first UX, retrieval grounded in source-of-truth systems.
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05
Automation fabric Event-driven integration between ERP, data platform, ticketing, identity — the plumbing agents run on.
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06
AI governance rollout Policy, controls, review boards, audit logging, education — aligned to EU AI Act and sector regulation.
Anonymised case
From 100 ideas to 10 in production.
The situation.
A sprawling backlog of AI ideas, a slide deck of pilots, zero deployments in production. Leadership had read every vendor deck and still could not name a single agent a named operator could own on Monday.
What we did.
Cut the portfolio from a hundred ideas to ten — scored against expected value, delivery cost, and operational owner on the client side. Designed each agent behind identity, with audit logs, override paths, and a clear escalation to a named human. We wrote evals before we wrote prompts. We built the automation fabric — event bus, identity, observability — before the first agent shipped.
Outcome.
Ten agents in production covering employee lifecycle actions, with an average of two production releases per agent. Every call the agent makes can be explained by a named operator on the client side. No PoC left stranded in a demo environment.
Sector, scope and outcome are accurate. Client identity withheld under NDA.
Related practices
Rarely sold alone.
Next step
Bring us a process. We'll ship the agent.
Thirty minutes. A practitioner on the other end. No sales round, no vendor logos on the call.