Adoption planning
AI Adoption Blueprint
One week. One live job. Not a 40-page strategy that dies in Drive.
- Best for
- Leadership teams that need policy, priorities and confidence before rollout.
- First fortnight
- Use-case shortlist, risk checks, tool rules and a practical adoption route.
- Route
- Usually starts with a fixed-scope Deep Dive or Sprint Week.
- We build
- A practical AI use policy, priority workflow map, risk register, approved-tool guidance and rollout plan.
- Outcome
- Staff know what is allowed, managers know what to check, and leadership can move without unmanaged AI sprawl.
Typical starting point
A board, senior team or founder wants AI adoption to be useful, controlled and explainable before staff start improvising with public tools.
Plan safe adoption
Reporting and data
Information Into Action
The weekly pack that used to eat Monday. Pulled from your systems, not rebuilt by hand.
- Best for
- Managers, finance teams and service leads who need clearer answers faster.
- First fortnight
- Pick one recurring question and build a controlled answer workflow around it.
- Route
- Scoped fixed price after the source data and review points are confirmed.
- Plugs into
- Spreadsheets, shared folders, CRM records, reports, databases, finance exports and approved views.
- Outcome
- Faster answers, clearer reporting packs and less dependence on one person who knows where everything lives.
Typical starting point
A manager, trustee or funder asks a reasonable question, but answering it means opening five exports, three documents and last month's spreadsheet.
Discuss this starting point
Central business brain
The Vault
Ask the business. It answers from your files, with the page it used. Staff stop rummaging.
- Best for
- Teams that need one trusted place to ask, find and reuse business knowledge.
- First fortnight
- Choose the first knowledge set, tidy the structure and agree source and review rules.
- Route
- Starts as a curated knowledge proof, then grows into a governed business brain with a controlled learning loop.
- Plugs into
- Policies, procedures, project notes, board packs, service guides, reports, folders and approved reference material.
- Outcome
- Faster answers, less repeated searching and a knowledge system that gets stronger as your team uses it.
Typical starting point
The organisation knows more than it can easily use. The Vault brings that knowledge into one controlled place, then uses staff questions and reviewed answers to keep improving it.
Build a business brain
Governed adoption
Private AI Workspace
Your tenancy. Your models. Nobody else’s cloud reading the case notes.
- Best for
- Teams with confidential documents, internal guidance or stronger governance needs.
- First fortnight
- Define users, sources, permissions, model choices and human review points.
- Route
- Proof first, then production deployment once the boundary is trusted.
- We build
- A controlled workspace with approved knowledge sources, user permissions, review points and clear boundaries.
- Outcome
- Staff get safer AI support while managers keep visibility over sources, access and what should stay human-led.
Typical starting point
Policies, procedures, case notes, service evidence or internal guidance are useful, but the organisation needs tighter control over where that information goes.
Discuss safe adoption
Everyday staff support
Staff AI Assistant
Blank page, gone. First drafts in your tone, from your last real work. You still edit.
- Best for
- Busy teams with repeat drafting, searching, summarising or preparation work.
- First fortnight
- Choose the first staff role, approved sources, output types and review rules.
- Route
- Role-based prototype, then extend to more teams once useful.
- Helps with
- Finding answers, drafting updates, summarising notes, shaping reports and preparing first drafts for review.
- Outcome
- People spend less time starting from a blank page and more time checking, deciding and supporting service users or customers.
Typical starting point
A team already uses Microsoft 365, shared drives, notes, policies or templates, but still wastes time finding the right wording or source material.
Explore staff assistants
Process automation
AI-Ready Operations
The follow-up that used to live in someone’s head. Triggered, owned, done.
- Best for
- Operations teams where the process is known, but the handoffs are still manual.
- First fortnight
- Map triggers, decisions, owners, exceptions and the points AI can support.
- Route
- Workflow design first, then automation or agent support where it is safe.
- We build
- Documented workflows with clear triggers, owners, permissions, review steps and handover points.
- Outcome
- Smoother operations, fewer dropped tasks and a better foundation for useful automation or agent support later.
Typical starting point
Shared inboxes, forms, task lists, calendars or handovers contain the work, but the process is not yet clean enough for AI to help safely.
Map a workflow
AI staff team
Managed AI Staffroom
A Grok crew on the week: inbox, pack, vault. You still hit send. This is the desk.
- Best for
- Teams that need more capacity but want governed assistants, not unmanaged tools.
- First fortnight
- Define the first AI roles, permissions, workflows, review points and operating rhythm.
- Route
- Starts as an internal pilot, then expands into a managed AI support model.
- We build
- A small, governed AI team around your approved tools: assistants for reporting, inboxes, documents, operations and staff support.
- Outcome
- Extra day-to-day capacity, clearer handovers and faster answers, with human approval and data boundaries built in.
Typical starting point
A leadership team wants the benefit of AI assistants across the organisation, but needs roles, permissions, supervision and governance before adoption spreads.
Discuss an AI staffroom
Agent mentoring
AI Agent Coaching
You already have the bots. They are sloppy. We make them earn.
- Best for
- Teams with live AI habits, prompt packs or agents that need sharper roles, better supervision and more reliable outputs.
- First session
- Review current agent instructions, workflows, examples, review points and where outputs are breaking down.
- Route
- Half-day clinic, full-day improvement session or follow-up mentoring for staff and operators.
- We improve
- Prompts, role instructions, handovers, examples, escalation rules, quality checks and reusable agent playbooks.
- Outcome
- Your AI tools become easier to brief, easier to correct and more useful in real day-to-day work.
Typical starting point
Staff are using ChatGPT, Claude, Copilot or custom agents, but results depend too much on who is asking, how they phrase the task and whether anyone checks the output properly.
Improve your AI agents
Recovery and reset
AI Rescue Package
The licences are sitting there. Nobody is using them. Rescue the spend.
- Best for
- Projects that have drifted, disappointed users or become hard to explain.
- First fortnight
- Review tools, costs, data flows, outputs, risks and whether to fix or stop.
- Route
- Short diagnostic first, then a clear recover, rebuild or retire decision.
- We review
- Tools, prompts, data flows, risks, costs, ownership, handover, staff confidence and whether the original problem still makes sense.
- Outcome
- A clear keep, stop, fix or rebuild recommendation, with a route back to controlled value.
Typical starting point
A pilot has drifted, a tool is not trusted, costs are unclear, or staff are unsure whether the system is helping or creating more work.
Rescue an AI project