TL;DR — Key Numbers
- Readiness Sprint: $5,000–$9,500 CAD, 2–3 weeks — scoping and a written implementation spec.
- Pilot to Production: $30,000–$60,000 CAD, 6–10 weeks — one use case, live and measured.
- Agent & Workflow Build: custom-scoped — agents across your tools and data.
- Fractional AI Lead: $3,500–$7,500 CAD/month, 3-month minimum — a part-time senior AI lead.
- All engagements are scoped before work starts.
- Many engagements may be SR&ED-eligible; eligibility is determined by the CRA, and this is not tax advice.
"Forward-deployed engineering" (FDE) is the model OpenAI, Anthropic, and Palantir popularized for enterprise AI delivery: a senior engineer embeds with the client's team and ships a working system into production, rather than handing over a slide deck. Mihron AI brings that same model to Canadian small and mid-sized businesses — with pricing scoped before any work begins.
This guide breaks down what forward-deployed AI engineering costs in Canada, what each of Mihron AI's tiers includes, how the model compares to hourly AI consulting, and what to check on SR&ED eligibility before you budget.
How Much Does Forward-Deployed AI Deployment Cost in Canada?
Readiness Sprint
2–3 weeks. ROI-ranked use-case map, data & workflow audit, build-vs-buy recommendation, written implementation spec.
Pilot to Production
6–10 weeks. Production build + integration, eval framework, handoff + 30-day support.
Agent & Workflow Build
Agent architecture, CRM & system integration, voice + chat interfaces, monitoring & guardrails.
Fractional AI Lead
3-month minimum. Roadmap ownership, vendor & model evaluation, production oversight, monthly exec reporting.
Which tier should a first-time buyer start with?
Most businesses new to AI deployment start with the Readiness Sprint: a low-commitment, way to get an ROI-ranked use-case map and an implementation spec before committing to a full build. Businesses that already know which workflow they want automated typically go straight to Pilot to Production.
What Is a Forward-Deployed Engineer (FDE)?
The term originates from the model used by OpenAI, Anthropic, and Palantir for enterprise AI delivery, and is increasingly used by boutique firms bringing the same approach downmarket. The distinguishing feature is accountability for a working outcome, not a recommendation.
How Is Forward-Deployed AI Different from Traditional AI Consulting?
| Dimension | Traditional AI Consulting | Forward-Deployed Engineering |
|---|---|---|
| Primary deliverable | Strategy deck, recommendations | Working system in production |
| Billing model | Often hourly or time-and-materials | Scoped up front |
| Accountability | Ends at the recommendation | Extends through integration and handoff |
| Typical output | Slide deck | Deployed, measured production system |
The case for this model is grounded in published data: in MIT's 2025 NANDA study, "The GenAI Divide: State of AI in Business," about 95% of enterprise generative-AI pilots delivered no measurable return, and the blocker was almost never the underlying model — it was integration with the organization's real data, tools, and workflows. The same study found that solutions built with specialist partners reached production roughly three times as often as internal builds.
What's Included in Mihron AI's Readiness Sprint?
- ROI-ranked use-case map across your workflows
- Data and workflow audit
- Build-vs-buy recommendation
- Written implementation spec you can act on, with Mihron AI or elsewhere
How Long Does a Pilot-to-Production Engagement Take, and What Does It Include?
- Production build and integration with your real systems
- Evaluation framework so results are measured, not assumed
- Handoff plus 30 days of post-launch support
Is Forward-Deployed AI Deployment SR&ED Eligible in Canada?
AI deployment work that involves genuine technological uncertainty and systematic experimentation — rather than off-the-shelf configuration — is the kind of work SR&ED is designed to support. Businesses should confirm eligibility with a qualified SR&ED advisor or the CRA directly before assuming an engagement qualifies.
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How much does forward-deployed AI deployment cost in Canada?
Mihron AI's tiers for forward-deployed AI engineering in Canada run from $5,000–$9,500 CAD for a 2–3 week Readiness Sprint, to $30,000–$60,000 CAD for a 6–10 week Pilot-to-Production build. A Fractional AI Lead retainer runs $3,500–$7,500 CAD/month with a 3-month minimum, and a full Agent & Workflow Build is custom-scoped. Every engagement is scoped before work begins.
What is a forward-deployed engineer (FDE)?
A forward-deployed engineer is a senior engineer who embeds with your team to build and ship AI into production — not a consultant who hands you a strategy deck. The FDE owns the integration, evaluation, and handoff until the system is live and measured.
How is forward-deployed AI different from traditional AI consulting?
Consultants typically advise and deliver a strategy deck; a forward-deployed engineering firm ships working code into your environment with a defined deliverable. According to MIT's 2025 NANDA study, "The GenAI Divide: State of AI in Business," about 95% of enterprise generative-AI pilots delivered no measurable return, and solutions built with specialist partners reached production roughly three times as often as internal builds — the gap was integration with real data, tools, and workflows, not the underlying model.
What's included in Mihron AI's Readiness Sprint?
The Readiness Sprint is a $5,000–$9,500 CAD, 2–3 week diagnostic that delivers an ROI-ranked use-case map, a data and workflow audit, a build-vs-buy recommendation, and a written implementation spec — the output you need to decide exactly what to build first.
How long does a Pilot-to-Production engagement take and what does it include?
Pilot to Production is a 6–10 week, $30,000–$60,000 CAD engagement that takes one high-impact use case from spec to a live production build, including systems integration, an evaluation framework, and a 30-day handoff period once the system is live.
Is forward-deployed AI deployment SR&ED eligible in Canada?
Many forward-deployed AI engagements may be eligible for Canada's Scientific Research and Experimental Development (SR&ED) tax incentive, since they often involve technological uncertainty and systematic experimentation. Eligibility is determined solely by the Canada Revenue Agency on a case-by-case basis — this is not tax advice, and businesses should confirm eligibility with a qualified SR&ED advisor or the CRA directly.