AI pilot
How we introduce AI into your organisation
A de-risked, phased pilot, measured in days, not quarters.
Book a 30-minute call
The honest problem
The gap isn't ambition. It's the path.
Stalled initiatives
Most AI initiatives stall between “interesting” and “in production”.
Silent knowledge
The valuable knowledge lives in people's heads, not in documents.
Compliance blocks
Governance and compliance fears block the first step.
Slow onboarding
Onboarding new people to repetitive work is slow and costly.
Our approach, in one sentence
We run a governed pilot on your real, repetitive work, and hand you a working draft model.
Phased and low-commitment
Each step is a few person-days, with an off-ramp after every phase.
Compliance first
We start with your governance posture to protect your data.
On real tasks
Tested on actual workloads you choose, not fake demos.
Low burden
Sessions are recorded automatically. No homework for your team.
Where AI can safely operate
- AI governance
- Existing cloud services (Microsoft 365, Google Workspace)
- Safe to automate
Phase 2 maps your AI governance posture against the cloud services you already run under approved terms. The overlap is where a pilot can start without a new compliance review, and it is the map you keep afterwards.
The engagement at a glance
Five phases, 9–11 person-days of core work, with an off-ramp after every phase.
Phase 1
1 day
Preparation
NDA and data-handling agreement, a shortlist of candidate tasks, scope, roles and points of contact.
Output: Ground rules set before we touch anything.
Phase 2
2 days
Governance and compliance analysis
Review of your AI governance posture and existing cloud services (Microsoft 365 or Google Workspace), a map of data sensitivity, access and compliance constraints.
Output: A “safe-to-automate” map.
Phase 3
2 days
Work and tooling proposal
A roadmap for the chosen tasks, a tooling shortlist that fits your stack and governance rules, effort and sequencing, success metrics.
Output: A proposal you can act on or shelve.
Phase 4
2 days
Pilot workshops
Recorded sessions executing real tasks you choose, capturing the tacit knowledge that never got written down.
Output: The real conversation and process patterns.
Phase 5
2–4 days
Draft model
A working example model (agents, supporting apps, microservices) scoped to what we observed, with full documentation of process and design decisions.
Output: Something you can see run, not just read about.
What you walk away with
Phases 2 and 3
Governance and compliance map
A “safe-to-automate” map for your compliance and governance guidelines.
Phase 3
Work and tooling proposal
A concrete, tailored roadmap matched to your constraints, with a shortlist of verified tools.
Phase 4
Captured process patterns
Observed process patterns and tacit knowledge from your real everyday work.
Phases 4 and 5
Full scope documentation
Design decisions, workshop insights and documentation of the pilot scope.
Phase 5
Working draft model
An executable example model with agents, supporting apps and custom microservices.
Why this de-risks AI adoption
01
Small bets, not big bets
Executed in days, with clear off-ramps that prevent runaway scope.
02
Compliance before code
Governance and compliance are addressed upfront, so there are no surprises during the build.
03
Real work, not demos
Value is proven on your everyday tasks, not in a generic sandbox.
04
We capture tacit knowledge
The unwritten process knowledge that usually gets lost in handovers is extracted and secured.
05
A running model, not a report
You walk away with an executable draft model, not a text document.
Next step
Let's start with phase 1.
01
Sign an NDA
So process details and operational patterns can be shared safely.
02
Pick two or three candidate tasks
Together, where automation brings immediate, low-risk value.
03
Book the phase 2 governance analysis
A 30-minute call is enough to start.
Talk to us
Tell us what you are working on and where it is stuck.