Digid Inc. Digital advisor

Practical AI adoption for Canadian SMEs.

Digid helps teams choose the right workflow, prepare the business case, connect funding options, set governance, train users, and build AI systems that can be measured after launch.

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Golden Digid gate with a clear path from scattered AI decisions to an operating system — Assess the workflowFind the pathBuild with control

Three paths into one adoption plan.

Most teams do not need more AI demos. They need a clear project, the right funding route, safe operating rules, and a practical first implementation.

Minimal gate illustration for AI Pathfinder route selection

Assess

Use AI Pathfinder to identify the workflow, readiness gaps, data requirements, risk level, and next step before committing budget.

Map your AI path

Fund

Review whether DMAP, TDP, BDC LIFT, SR&ED, training support, or a self-funded path may fit the project.

Review funding options

Minimal gate illustration for team AI onboarding

Build

Set up the workspace, users, knowledge, permissions, approvals, training, and first useful AI workflow.

Plan implementation

How Digid works

Assess, fund, govern, train, build, measure.

AssessFind a workflow with enough value, urgency, and available data to justify action.
FundMatch the project with grant, loan, tax-credit, training, or self-funded options.
GovernDefine data boundaries, approval points, vendor choices, and success measures.
Build and measureLaunch the smallest useful system, train users, and improve from real evidence.

Digid gate process image showing a calm route through assessment, funding, governance, training, build, and measurement

What the customer leaves with.

The output should be useful even before a build starts: a clearer decision, a stronger business case, and a safer path for the team.

Decision

AI opportunity brief

A short, practical view of the workflow, expected value, data needs, risk, and recommended first project.

Capital path

Funding-fit signal

A review of relevant programs or financing routes and what evidence the project may need before applying.

Rollout

Implementation roadmap

A scoped plan for tools, permissions, training, governance, responsibilities, and measurable rollout steps.

AI operating layer

AI works when the operating method is clear.

Models are only one part of the system. Teams also need approved knowledge sources, permissions, workflow design, human review points, training, and feedback loops.

Set up the workspace Review governance

Products support delivery when they add value.

Digid can use its own workspaces and research tools where they help customers see the work, control decisions, and keep the implementation moving.

Control panel

Aionboard

Client-facing project visibility, decision tracking, and structured workspace for repeatable implementations.

Funding intelligence

GrantAndFunding.com

Program research, eligibility routing, and evidence support for funding and capital planning.

Managed AI ops

Mupot

Managed AI work with approvals, knowledge boundaries, operating controls, and clearer team oversight.

Proof through labs

Show the work behind the advice.

Digid Labs can turn selected projects, product experiments, DMAP plans, SR&ED evidence, and AI builds into practical case studies for owners who want to understand the path before they commit.

Visit Digid Labs

For owners

Understand the business case, risk, budget path, and first project.

For teams

Know what will change, what training is needed, and where approvals sit.

For partners

See the implementation scope, evidence, and responsibilities before delivery starts.

Next step

Start with the workflow, then choose the tools.

Use AI Pathfinder if you need to decide where to begin. Book a review if you already have a project, funding question, or team rollout to discuss.

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