Every engagement follows the same principles: understand first, build second, measure everything. No surprises, no hidden scope, no jargon.
Most consultancies jump straight to tooling. We don't. Governance and readiness come first, because an AI tool deployed into a confused business creates confusion at scale. Every step has a defined output and a written decision you can point to later.
A full engagement runs end-to-end, but individual steps can also be commissioned on their own — a standalone readiness assessment, a governance sprint, a Copilot rollout.
We start with your business, not the technology. A focused session to understand your workflows, pain points, data landscape, and what success actually looks like for you.
We map what's viable, what's valuable, and what needs sorting first. You get an honest view of AI readiness, risks, and a prioritised list of opportunities.
We build the policies and guardrails first. Acceptable use rules, data handling frameworks, approval workflows, and compliance alignment — before any AI tool goes live.
We build the solution — whether that's a custom AI tool, a workflow automation, or a governed Copilot rollout — integrated into your existing environment with your business rules baked in.
Deployment with proper training, documentation, and change management. We don't throw tools over the wall — we make sure your team knows how to use them and actually does.
We track the outcomes agreed upfront. Monthly support is available to optimise, troubleshoot, and identify new opportunities as your confidence grows.
Three representative engagement shapes. Your scope and scale will be different — but the structure and level of transparency stay the same.
Mid-size advisory firm, ~50 employees.
A mid-size advisory firm knows AI matters but has no clear roadmap. They're worried about compliance, unsure which processes are suitable, and don't want to waste budget on the wrong tools.
Half-day discovery workshop, process mapping across core workflows, data readiness review, and a prioritised roadmap. Governance requirements and compliance considerations addressed upfront — before any tools are selected.
Professional services firm, ~120 employees.
Staff spending 15+ hours a week manually reviewing and summarising client documents. Inconsistent output, human error, and a bottleneck that affects fee earner utilisation and client turnaround.
Build a custom AI tool that reads incoming documents, categorises them by type, extracts key facts, and produces summaries — with human-in-the-loop review built in. Full audit trail for compliance and client confidence.
Retail or e-commerce business, ~30 employees.
The team has heard about AI but has no idea how to use it safely or effectively. No policies in place, worried about data risks, and uncertain which tools are appropriate for their work.
Full-day training workshop with hands-on exercises using real workflows. We create an approved tools list and AI usage policy aligned with data safety requirements. Follow-up sessions measure adoption and identify new opportunities.
Assessments and governance work typically take 1–2 weeks. Custom tool builds run 4–8 weeks depending on complexity. You'll always know the timeline before we start.
Everything is scoped and priced before work begins. No hourly rates, no surprise invoices, no scope creep. You know exactly what you're paying for and what you'll get back.
Regular check-ins, clear documentation, plain language. You'll always know where the project stands. We work with your preferred tools — Teams, Slack, email, or phone.
No pitch, no jargon. Just an honest discussion about where AI could make a real difference in your business.