AI onboarding for SMEs
Start AI with one useful workflow and clear operating rules.
Digid helps Canadian businesses turn scattered AI interest into a practical first workflow. We help choose the use case, set safe operating rules, train the first users, and route the next step toward funding, automation, cloud implementation, governance, or a smaller pilot.
Operating rule
Adoption starts with the work people already do.
Tools come after the workflow is clear. The first decision is which process should improve, who will use AI, what data is allowed, and what evidence proves the change is worth keeping.
Who this helps.
This onboarding path is for teams that want practical adoption tied to a real business process.
- Owners or operators who know AI can help and need a clear first workflow.
- Teams already using ChatGPT, Gemini, Copilot, or CRM AI informally and needing data, privacy, and quality rules.
- Businesses considering AI assistants, document search, automation, call intelligence, or knowledge-base projects.
- Companies preparing an AI adoption plan before BDC LIFT, DMAP/TDP, SR&ED, training, or implementation work.
Good first onboarding workflows.
The best starting point is usually a repeatable workflow where staff already lose time searching, summarizing, drafting, re-entering, checking, or routing information.
- Sales follow-up, proposal support, CRM notes, and next-step summaries.
- Document search across policies, procedures, project files, vendor material, or training resources.
- Operations, quality, or manufacturing checklists where AI can help organize evidence and exceptions.
- Grant, funding, and SR&ED preparation where scope, evidence, and project history need structure.
The onboarding path.
A small first win gives the team a real pattern to improve, govern, and scale.
01
Workflow selection
Choose one practical workflow, define the users, and confirm the business reason for changing it.
02
Policy and guardrails
Define approved tools, restricted data, review points, ownership, logging, and escalation rules.
03
Pilot and training
Train the first users around real tasks, shared prompts, approved sources, and review habits.
04
Implementation route
Decide whether the next step is automation, RAG, cloud/data work, governance, funding review, or process cleanup.
What Digid produces
A first AI operating plan your team can use.
The output is a practical onboarding path: target workflow, first-user group, tool and data boundaries, training needs, governance gaps, and whether funding or implementation support is worth pursuing now.
For some teams, the right next step is a simple team playbook and training. For others, it is a controlled automation, a knowledge base, a CRM workflow, a cloud implementation, or a funding-ready project scope.
Possible routes after onboarding
- AI + funding assessment
- BDC LIFT readiness or DMAP/TDP plan
- SR&ED evidence planning for experimental work
- RAG, automation, cloud, or CRM implementation
- PECB or bridge training for governance
Where this connects.
AI onboarding often touches the systems the team already uses: Google Workspace, Microsoft 365, CRM and marketing automation, Slack, cloud storage, SOPs, forms, spreadsheets, and reporting dashboards. Digid maps the handoff before deciding whether the next step should be automation, document search, reporting, cloud setup, or a managed rollout.
Start with a readiness check.
If your team is using AI informally or considering an AI project, the assessment gives Digid enough context to route the next step.