Services

AI that improves a process you can name.

Each service can stand alone. Most clients start with a Readiness Assessment, pilot one agent or app, then add governance as AI use grows. We go well past chat tools: our work uses RAG, MCP and agent-first process design. What do those mean?

AI Readiness Assessment

Duration2–4 weeks

Best forFirst AI investment

Measured byBaseline + ranked ROI

We interview the people who do the work, map your key processes, and measure where time, errors and delays build up. Then we score each AI opportunity on value, feasibility and risk.

You get

Current-state process maps with time and error baselines
Ranked list of AI opportunities with estimated payback
Data and systems readiness review
A 90-day roadmap and a recommended first pilot

Good fit if

Staff use AI tools informally and you want a plan
You are unsure which processes to automate first
You need a business case before spending

AI Agents & Automation

Duration4–8 week pilot

Best forHigh-volume work

Measured byCycle time, hours, errors

We design agents that take on the repetitive parts of a workflow: reading documents and emails, classifying requests, drafting responses, and updating your systems. People stay in the loop at the points where judgment matters.

Typical uses

Intake and triage of email, forms and support requests
Invoice, order and document processing
Proposal, quote and report drafting
Data entry and reconciliation across systems

Built in

Approval steps and confidence thresholds
Full activity logs for every agent action
Fallback to a person when the agent is unsure

Custom AI Apps & Integration

Duration6–12 weeks

Best forKnowledge-heavy teams

Measured byAdoption, time to answer

We build assistants and applications that use your documents, data and procedures, and we connect them to the tools your team already uses, such as Microsoft 365, SharePoint, your CRM or ERP, and line-of-business databases.

Typical builds

Internal knowledge assistant over policies and project files
Customer-facing assistants with safe hand-off to staff
AI features added to existing in-house applications
Dashboards that explain the numbers in plain language

Our standards

Your data stays in your environment where possible
Model choice based on task, cost and privacy
Documented, maintainable code you own

Our own proof: Project Watch™. JDQ designed and developed Project Watch™ end to end: one custom app that runs requirements, version control and issue tracking through to CRM, orders, timesheets and invoicing. It now has generative AI, RAG and MCP built in, and it powers our run-time error triage agent.

AI Governance & Quality

Duration4–6 weeks + ongoing

Best forRegulated or growing AI use

Measured byAccuracy, incidents, audit

We apply the quality-system discipline we used for ISO 9001 clients to AI: clear policies, defined controls, testing, and ongoing monitoring. The result is AI your customers, staff and auditors can trust.

You get

AI use policy and acceptable-use guidelines
Risk register and controls for each AI system
Accuracy testing and monitoring routines
Graduated trust levels for each AI agent
Alignment with ISO/IEC 42001 and Canadian privacy law

Good fit if

AI tools are spreading faster than your policies
Customers or regulators are asking how you use AI
You want AI inside your existing quality system

Quick check

Where could AI help you?

Tick what sounds familiar. We'll suggest where to start.

Staff spend hours re-keying data between systems Our inbox or request queue is always backed up People can't find answers in our own documents Proposals, quotes or reports take too long to write Staff use AI tools and we have no policy yet Customers ask how we use AI and protect their data We know AI matters but don't know where to begin Our in-house software needs smarter features

Suggested starting points

AI Readiness Assessment0

AI Agents & Automation0

Custom AI Apps & Integration0

AI Governance & Quality0

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