Make company knowledge usable with AI
Turn policies, procedures, proposals, CRM notes, files, and product knowledge into governed answers your team can use.
A practical knowledge layer for your team
Digid helps Canadian SMEs design RAG workflows that search approved sources, cite context, respect permissions, and hand work to the right person when confidence is low.
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Start with one high-value knowledge workflow
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Connect sources, approvals, and feedback
RAG is useful when your answers depend on your own documents: SOPs, QMS records, grant files, service history, product manuals, contracts, CRM notes, or training material. Digid helps you decide what should be searchable, who can access it, and where human review is required.
What RAG can do for your business
Retrieval-Augmented Generation lets an AI assistant answer from approved business sources instead of guessing from general training data. For SMEs, it can support customer service, internal operations, quality evidence, sales enablement, onboarding, and funding documentation.
Use approved sources
Connect the documents, records, and systems your team already trusts.
Reduce repeated searching
Help staff find policy, process, product, or customer context faster.
Improve customer answers
Support service teams with responses grounded in your own knowledge base.
Where Digid helps
Source mapping, permission design, workflow fit, evaluation, and rollout planning.
What to avoid
Uploading everything, skipping governance, or treating AI answers as final when review is needed.
Good first use case
A workflow with repeated questions, reliable source documents, and measurable time savings.
Build one reliable knowledge workflow before scaling AI
A useful RAG project starts with sources, permissions, evaluation, and a clear owner.
Sources
Approved documents, records, websites, CRM notes, policies, and product knowledge.
Map what AI can use
Define which sources are trusted, stale, restricted, or missing before connecting tools.
Controls
Permissions, citations, review points, escalation, retention, and audit trail.
Keep answers accountable
Design the workflow so sensitive or uncertain answers are reviewed by the right person.
Proof
Test questions, expected answers, adoption metrics, and feedback loops.
Measure usefulness
Track whether the assistant saves time, improves consistency, and reduces repeated work.
Ready to test a knowledge workflow?
Start with one business process where your team wastes time finding answers or rewriting the same material.
RAG questions we usually clarify
Use these questions to decide whether a knowledge assistant is worth building.
Need a fit check? Book an AI knowledge review.
Talk to Digid about your first knowledge workflow
Share the workflow, documents, or knowledge problem you want to improve. Digid will help decide whether RAG, automation, onboarding, or a smaller process change is the right next step.Use the form or book an AI knowledge review
+16472774742
Choose the first knowledge workflow.
Digid can help you assess sources, governance, tools, and the rollout path before you build.