AI Adoption Readiness.
Know what to automate, what to protect, and what to prove before you deploy AI. A scoped sprint for organizations preparing to use AI on dense records, filings, and document troves, built so adoption earns trust instead of risking it.
For organizations drowning in documents.
The problem is rarely a lack of AI. It is that the information environment (filings, policies, evidence, operational noise) is unusable. SMEs, nonprofits, associations, regulated businesses, and public-facing organizations all hit the same wall.
The sprint makes the record legible first, then maps where trusted AI belongs on top of it, and where it does not.
What you receive.
AI opportunity map
Where AI does useful work in your workflows, and where it adds risk without payoff.
Workflow audit
The processes that touch records and decisions, mapped end to end.
Data & document inventory
What you hold, where it lives, and what state it’s in.
Risk register
The concrete risks of deploying AI against your information, ranked.
Privacy & PIPEDA exposure review
Where personal information enters the picture, and what that constrains.
“Where AI should not be used” boundary map
The decisions and workflows that must stay human, named explicitly.
Agent / RAG prototype roadmap
The first systems worth building, in priority order, with a path to a working prototype.
Source-traceability requirements
The standard every AI output must meet to be checkable against the record.
Funding & procurement readiness memo
What programs and evaluators will expect before you pursue AI funding or sell into the public sector.
Engagements are scoped against your objectives with explicit deliverables and a timeline, and formalized through a written agreement.
Common questions.
Who is the AI Adoption Readiness Sprint for?
- Small and mid-sized businesses, nonprofits, associations, and public-facing organizations preparing to use AI safely, especially those sitting on dense records, filings, policies, or document troves they need to put to work.
What do we walk away with?
- A clear map of what to automate, what to protect, and what to prove before you deploy AI: an opportunity map, a workflow and data inventory, a risk register, a privacy/PIPEDA exposure review, an explicit “where AI should not be used” boundary map, a source-traceability spec, and a prototype roadmap.
How is it priced?
- Engagements are scoped against your objectives with explicit deliverables and a timeline, and formalized through a written agreement. We scope a proposal after an initial conversation rather than publishing a fixed price.
Does this help with funding or procurement readiness?
- Yes. The sprint includes a funding and procurement readiness memo: what an evaluator or program will expect to see in terms of governance, privacy, and traceability before you pursue AI funding or sell into the public sector.
Adopt AI without losing the source, the record, or control.
Tell us what’s on the table. We respond to qualified inquiries within two business days and scope a proposal from there.
Before an engagement starts
Know what you are buying.
Teams evaluating AI for a specific operational workflow.
There are many AI ideas but no agreed first use case or test of success.
What you receive
- An assessed use case and workflow boundary.
- A data, risk and dependency inventory.
- An implementation decision and acceptance criteria.
What we need from you
- A workflow owner and representative non-sensitive examples.
- Existing data, security and procurement constraints.
What is not included
- An enterprise-wide transformation or open-ended discovery.
- Production implementation, compliance certification or legal opinions.
How completion is checked
- The recommended use case has a named owner, measurable test and stop condition.
- Dependencies and unresolved decisions are explicit.
- Timing
- A fixed-scope schedule is agreed after workflow and access requirements are understood.
- Fees and changes
- A written fixed-fee proposal follows the scope review. Changes to the agreed scope require approval before work proceeds.
- Ownership and handover
- You receive the readiness outputs. A subsequent build is a separate decision and scope.
These are the standard scope boundaries; the signed proposal controls the specific engagement. No ranking, regulatory outcome or third-party behavior is guaranteed.