AI strategy for mid-market operators whose board wants a plan.
Not every company comes to us with a specific operational pain. Sometimes the brief is "the board wants us to have an AI strategy by Q3." This is the door for that conversation.
The mid-market AI mandate.
Mid-market CEOs and CIOs face an awkward version of the AI mandate: enterprise-scale vendors cost a fortune and treat you as a mid-list account; generalist consultants sell workshops and frameworks, not working systems; in-house teams don't have time to pilot agentic AI properly. You need a partner who has actually shipped production AI inside a mid-market ERP — and who can tell you honestly which use cases are real and which are vendor hype.
Four stages, from board mandate to production.
A structured path from the Q3 board deck to agents that actually run in production. Every stage has a fixed scope, a fixed deliverable, and a clear next gate.
AI Discovery
Structured review of your operational landscape. We interview ops leaders across finance, order management, supply chain, and production, map the work to agent-suitable patterns, and assess feasibility against your existing ERP, data, and team.
Deliverable. A prioritised roadmap, a realistic ROI model, and one specific first project ready to scope.
Agentic Architecture
We design the architecture before we ship code. Which workflows need full autonomy, which need human-in-the-loop, where the confidence gates sit, how exceptions route. Whether agents run in the cloud, locally on your servers, or in a hybrid mode. How they integrate with your ERP, your identity provider, your audit requirements.
Pilot in production
One project, in production, measured. Not a sandbox, not a proof-of-concept that never ships. Real users, real transactions, real ROI numbers at the end of it.
Deliverable. Go/no-go for scaling is based on evidence.
Scale and retain
Bring the pattern across adjacent processes. Train your team to run and extend the agents. Stay on retainer so the system evolves as your operation does.
Four pages for the detail your board will ask about.
AI Discovery
A structured 2–3 week engagement. Prioritised roadmap, realistic ROI model, one first project ready to scope.
ReadAgentic Architecture
How we design agents that survive production — confidence gates, memory, audit, exception routing.
ReadSovereign & Local AI
Same agents, same architecture, no data leaves your network. Ollama on Apple Silicon or on-prem GPUs.
ReadChange & Adoption
The human side of AI transformation — restructuring, role design, training, and executive sponsorship.
ReadReady to turn the AI mandate into a plan?
A 30-minute call. We'll tell you what's realistic, what isn't, and what a first project looks like for your operation.