Two weeks. Nine deliverables. A working autonomous AI engine prototype running against your real workflows.
$2,500 CAD·Credited in full toward any build.
30-minute scoping call first. We confirm fit before you commit.
The problem is never access to tools. It is building before anyone has mapped which workflows actually benefit, what the data looks like, and whether the business case holds up.
This assessment closes that gap. You leave with a prioritized roadmap, a working prototype, and the clarity to decide whether to build, what to build first, and what it should cost.
Where AI fits first, what the financial upside looks like, and what should happen next. Compiled into a board-ready report and delivered in a 90-minute executive briefing.
We build a working autonomous AI engine against your actual workflows during the assessment. You experience the result before committing to a full build. If you proceed, the prototype becomes the foundation of your production system.
Quantified evaluation across seven dimensions: data maturity, process documentation, infrastructure, team capability, cultural readiness, governance, and strategic alignment.
Use cases ranked by implementation complexity, expected ROI, and organizational readiness. Leadership gets a clear answer to where execution should start.
Financial modeling for your top 3-5 AI use cases. Time savings, cost reduction, and revenue impact quantified against your current baseline.
Where you stand on AI adoption relative to 2-3 direct competitors. What they have automated, where they are ahead, and where the gap creates risk or opportunity.
The monthly and annual cost of maintaining manual operations: labor hours, error rates, missed response windows, lost leads, and delayed decisions. Visible in dollars.
Assessment of your data architecture, quality, accessibility, and governance. Specific gaps that would cause AI to fail, with remediation recommendations.
A 6-12 month phased plan. What to build, in what order, with what resources. Dependencies mapped, quick wins identified, each phase with success criteria.
Tool and platform recommendations based on your requirements, not vendor partnerships. Build-vs-buy analysis for each priority use case.
A focused two-week engagement that starts with operational truth and ends with a prototype, roadmap, and executive briefing.
We run a 90-minute session with leadership, map core workflows, review current systems, and define the success criteria for the assessment.
We audit operations and data readiness, model ROI, scan competitors, and build one lightweight agent against a real workflow.
We deliver the findings in a board-ready report, walk leadership through the roadmap, and outline the next phase if you want to build.
Discovery, audit, prototype engine, competitive scan, roadmap, and board-ready executive briefing included.
You have heard the pitch from every vendor. You are not sure which workflow to tackle first, what the real ROI looks like, or whether your business is actually ready.
Manual processes, repetitive tasks, fragmented tools. You know something should be automated but you need someone to show you exactly what and in what order.
The assessment includes a live prototype agent running against your actual workflows. You experience the result before deciding whether to build further.
If your business touches customer data, financial records, hiring, or health information, governance needs to be mapped before anything gets deployed.
DeployLabs builds autonomous AI business engines. We created this assessment because we kept seeing the same pattern: businesses spending tens of thousands on AI that failed because nobody mapped the operational reality first.
The output is practical: what to automate first, what to fix before deployment, what the upside looks like, and whether your business is ready to move now. It is the same assessment we run before every build.
Most firms stop at recommendations. We include a live prototype running against a real workflow so the value is visible before a larger commitment.
Seven autonomous AI agents run three businesses daily. This assessment is shaped by what breaks in deployment: data gaps, brittle handoffs, permission issues, and workflow edge cases.
We do not optimize for tool resale. The roadmap is based on your requirements, team reality, and the fastest path to measurable impact.
Readiness is not just technical. We factor in PIPEDA, provincial privacy, change management, and the compliance expectations that shape implementation here.
Two weeks. $2,500. A working prototype engine, quantified upside, and a roadmap you can act on immediately.