Services
Move from scattered AI experiments to a safe, workable adoption plan.
Co-founder-led AI adoption support for small, knowledge-intensive businesses that want practical progress without building an internal AI function first.
Delivered in English or French. Remote or onsite sessions, according to the engagement's needs.
Built for a specific moment
The strongest fit is a small B2B services company already using generative AI informally, with a committed sponsor but no dedicated AI lead.
- Teams are testing several tools, but usage is inconsistent and hard to govern.
- Leadership needs to choose one valuable workflow instead of funding disconnected experiments.
- People need practical rules for sensitive data, access, review and responsible use.
- The business wants a measurable 90-day plan and the capability to continue after handover.
It is not a generic inspiration workshop, a software resale package or a promise to automate the whole company in two weeks.
A staged path to adoption
Start at the level that matches the decision already in front of you. Each engagement stands alone; later work is optional.
- 01 / Align
AI Opportunity Workshop
One working day, plus preparation and follow-up
Best for: Leadership teams that need a shared starting point
A focused working session that turns broad interest in AI into a short list of relevant workflows and a clear next decision.
- Leadership and workflow preparation questionnaire
- Facilitated opportunity and risk workshop
- Prioritised shortlist of candidate workflows
- Concise decision memo with the recommended next step
- 02 / Decide
AI Readiness & Roadmap
Two to three weeks
Best for: Companies that need evidence before selecting a pilot
A structured assessment of workflows, data, tools, skills and governance that produces a prioritised, measurable 90-day adoption roadmap.
- Stakeholder interviews and current-use inventory
- Workflow, data and tool readiness assessment
- Use cases scored for value, feasibility and risk
- Target operating guardrails and 30/60/90-day roadmap
- Business case and go, revise or stop recommendation
- 03 / EstablishFlagship
AI Adoption Foundation
Four weeks end to end, including a ten-day delivery sprint
Best for: Small businesses ready to establish one governed foundation
The flagship engagement combines assessment, operating guardrails, a bounded technical foundation, team enablement and an implementation-ready plan.
- AI-use register and prioritised workflow portfolio
- Acceptable-use, data-handling and human-review rules
- Access, vendor and security baseline for one agreed AI workspace
- Target architecture and implementation backlog
- Role-based team training in English or French
- Final report, ownership model and 30/60/90-day plan
- Thirty-day adoption review after handover
- 04 / Prove
Guided AI Pilot
Typically six to eight weeks, scoped separately
Best for: Teams with a selected, bounded workflow and an executive sponsor
A follow-on engagement to configure and test one workflow, measure it against its baseline, train its users and hand over the operating playbook.
- Pilot scope, success measures and stop conditions
- Workflow redesign and agreed tool configuration
- Testing, review controls and adoption support
- Measured handover with a scale, revise or stop decision
Clear scope before commitment
Fees are confirmed after a short qualification call because team access, workflow complexity and the required security baseline change the effort. The proposal fixes the scope, outputs, schedule and fee before work starts.
Software licences, travel, custom production integrations, data migration, ongoing managed operations and legal advice are outside the base packages unless explicitly added.
What the work leaves behind
- 01
Discover
Map real workflows, tools, data constraints and informal AI use.
- 02
Decide
Rank opportunities by value, feasibility, risk and readiness.
- 03
Establish
Put proportionate access, data, vendor and review controls in place.
- 04
Enable
Train leaders and users on their own workflow, not on generic prompts.
- 05
Handover
Leave named owners, measures, working artefacts and a sequenced plan.
Direct senior involvement
iKeeLabs engagements are led by co-founders Huu Huy Truong and Lorenzo Caraffini. The practice brings Huu Huy Truong's 20+ years across software engineering and enterprise, cloud, data and integration architecture, including applied AI initiatives, together with Lorenzo Caraffini's enterprise and AWS cloud architecture and AI governance expertise. Recommendations remain vendor-neutral and proportionate to a small business.