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Skills development
and change
management
Table of contents
Every section below is structured by the wizard, then drafted by the AI and validated by your team.
- 01 Executive summary 03
- 02 Client context 04
- 03 Mandate objectives 05
- 04 Proposed approach 06
- 05 Scope of services 07
- 06 Deliverables 08
- 07 Timeline 09
- 08 Mandate team 10
- 09 Terms 11
- 10 Acceptance 12
- 11 Investment & next steps 13
- 12 Signature confirmation 14
Executive summary
This proposal outlines a strategic approach to accompany Renaud et Carré in managing changes induced by AI within your business.
The main objective is to establish a clear strategy to optimize existing processes while ensuring effective change management, including user training.
Two key services: the AI Discovery Workshop, a structured four-hour session with key stakeholders, and AI Training for technical teams, hands-on training covering LLM fundamentals, advanced prompt engineering and RAG patterns.
Client context
Renaud et Carré wishes to manage changes introduced by Artificial Intelligence within its company.
The main objective is to find a strategic partner to optimize processes and effectively manage AI-induced changes.
Mandate objectives
Three concrete outcomes the partnership will be measured against. Each one owns a metric you can audit at handoff.
- 01 Optimize existing processes. Map five high-volume flows; cut two by 40 % via AI assistance.
- 02 Equip the teams. Twelve people fluent in prompt patterns, agents and RAG.
- 03 Stand up AI governance. A reviewed policy and a usage register your board can sign.
Proposed approach
We work in three structured phases, each anchored on a deliverable your team can rely on.
Discovery first, then a focused build sprint, then handoff. Each phase ends with a checkpoint where you can adjust scope before the next one starts.
- Discovery: 1 week · facilitated workshop + stakeholder interviews
- Build: 3 weeks · working sessions + iteration loops with your team
- Handoff: 1 week · documentation + 30 days of async Q&A
Scope of services
What we deliver, and what we won’t, to keep the mandate focused on the work that actually moves the needle.
- AI Discovery workshop · 4 hours
- Two-day technical training
- Use-case prioritization matrix
- 90-day adoption roadmap
- Custom model development
- Vendor selection or RFP support
- Production-line implementation
Deliverables
Four artifacts your team owns at the end of the mandate. Plain English, audit-ready, no vendor lock-in.
- Workshop report Synthesis of priorities, five quick-win opportunities, 90-day plan.
- Training kit Slides, hands-on labs, prompt library and reference architecture.
- AI governance policy Reviewed template adapted to your sector and Quebec regulations.
- Usage register Spreadsheet model and Notion template to track AI use across teams.
Timeline
A five-week mandate, with checkpoints you can use to adjust scope before the next phase locks in.
- Week 1 Discovery kickoff Workshop, stakeholder interviews and flow mapping.
- Week 2 Build sprint start Working sessions, draft training materials, governance review.
- Week 4 Mid-sprint review Checkpoint with the steering committee; scope adjustments.
- Week 5 Training delivery Two days in person, asynchronous labs for the rest.
- Week 6 Handoff Final documentation and 30 days of asynchronous Q&A.
Mandate team
Three people, one accountable lead. Backup coverage is built in so the mandate never depends on a single calendar.
- Jean-François Berthiaume Lead consultant · accountable
- Marie-Claire Lévesque Change management specialist
- Samuel Lapointe AI / LLM engineering
Terms
The legal frame in four lines. The full contract sits in the secure link on the next page.
- 01 Payment Net 30 days from invoice date · CAD · before tax.
- 02 Intellectual property All artifacts produced for the mandate belong to the client at handoff.
- 03 Confidentiality Mutual NDA; data never leaves Canadian servers.
- 04 Termination Either party may terminate with 14 days written notice.
Acceptance
How the client formally accepts the mandate. The signature page that follows is the audit trail.
By accepting, the client confirms they have reviewed this proposal in full, agree to the scope, terms and investment defined within, and authorize the consultant to begin the mandate on the proposed start date.
Investment & next steps
Summary of selected services and expected investment.
Signature confirmation
When the client accepts, the proposal closes itself. This is what your partner sees the next morning: signature, audit trail, status, all stored.
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Accepted onMay 24, 2026 · 9:42 AM
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From IP24.200.18.221
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StatusAccepted
Three hours a proposal. Every proposal.
Proposal+ moves the work back to the part that requires you (the strategic argument) and freezes the rest.
Workflow
A studio, not a form.
Left: your data. Middle: the build. Right: the document taking shape. Five steps. About four minutes to a sendable proposal.
Brief the AI in plain language.
A few sentences are enough. Trigger, outcome, constraints. The system reads it once and never forgets. Your tone becomes the document’s tone.
Compose scope from your catalogue.
Click services from your library. Drop a one-off when the mandate demands it. Pricing recomputes live; the scope reads as a coherent narrative.
Put faces on the mandate.
Assign team members with role labels. Their bio, title and signature appear in the document. Clients buy people before they buy methodology.
Confirm the contractual frame.
Validity, payment terms, exclusions, confidentiality: every clause sits right after the team section in the final document. Approve once; reuse across proposals.
Review. Generate. Send.
AI fills every section from your inputs. You edit what matters. Generate the Letter-format PDF and share a secure public link. The client signs in their browser.
Quietly production-hardened.
- Multi-tenant by account. Your client list never crosses another company’s.
- Pundit policies on every resource. Rack::Attack on public surfaces.
- Cloudflare R2 storage. CSP nonces per request. Audit trail on every signature.
- Bilingual end-to-end: UI, prompts, fallback content, PDF, emails.
- Built on Rails 8, Hotwire, Solid Queue. Boring tech where it matters.
A document worth signing.
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