04 / HOW WE WORK
From the first conversation to everyday use.
Each stage creates the basis for the next. We adapt this typical process to project size, data readiness and the enterprise’s pace. Stages may overlap or iterate; scope, deliverables and support arrangements are agreed before engagement.
- 01
Initial conversation
What we do
Understand the business, current challenges, desired outcomes, timing and investment constraints, and identify key contacts.
Why it matters
Establish whether the problem is a good fit before choosing tools or making unrealistic commitments.
Stage outcome
An initial problem list and discovery recommendation, with a mutual decision on whether to proceed.
- 02
Requirements & on-site discovery
What we do
Interview business, IT and management stakeholders, observe real work, and map data, systems, exceptions and existing metrics, using on-site discovery and industry research as needed.
Why it matters
The stated request may be a symptom. Understanding root causes and user context helps identify the problem worth solving.
Stage outcome
Validated requirements, current workflows, key constraints and a baseline for evaluating results.
- 03
Feasibility & tailored design
What we do
Assess data quality, integration, AI suitability, implementation cost and risk, using a focused proof of concept when needed.
Why it matters
Separate a promising idea from a workable approach and choose an option with proportionate investment and testable value.
Stage outcome
A tailored approach, priorities, pilot boundaries and risk assessment, followed by a go, revise or pause decision.
- 04
Scope agreement & kickoff
What we do
Agree scope, deliverables, responsibilities, resources, milestones, fees, acceptance criteria and change control.
Why it matters
Define what completion means before work starts, reducing scope drift and disagreements over delivery.
Stage outcome
An agreed project plan and engagement terms, with clear start conditions and communication cadence.
- 05
Build & integrate
What we do
Configure or build AI Agents, workflows and interfaces, including data integration, access controls, exception handling and staged testing.
Why it matters
Turn the design into working capability in the enterprise environment and catch mismatches through regular demonstrations.
Stage outcome
Working increments, test records and an issue log for business review.
- 06
Pilot & validate
What we do
Pilot with agreed teams or use cases, comparing accuracy, efficiency, review needs and exceptions against the baseline, and collecting user feedback.
Why it matters
A successful test does not guarantee real-world usability. A bounded pilot reduces uncertainty before wider rollout.
Stage outcome
Pilot findings, required improvements and a rollout recommendation, with a readiness decision for acceptance and launch.
- 07
Launch, acceptance & handover
What we do
Complete agreed acceptance and deployment, train users, and hand over essential documentation, access, maintenance responsibilities and escalation routes.
Why it matters
Delivery requires both a live system and people who can operate and own it, creating the conditions for ongoing use.
Stage outcome
Acceptance records and a handover checklist, with operational ownership and agreed support arrangements.
- 08
Improve & assess expansion
What we do
Within agreed support terms, track usage, business metrics and operational issues, prioritise improvements and assess additional use cases or rollout needs.
Why it matters
Business conditions and data change. Feedback keeps the solution relevant, while expansion calls for a fresh assessment of investment and value.
Stage outcome
A prioritised improvement backlog and review; additional scope, fees and support duration are agreed separately.