AI architecture should not be abstract: review one workflow before setup. Start with an architecture review
AI Workflow Architecture Review

Move from AI answers to managed AI workflow agents.

Most AI chatbot projects stop at answering questions. AI Strategy Tools helps you identify one practical workflow, map the right AI architecture, and define a managed build path that improves response, qualification, handoff and operational consistency.

Get my workflow reviewedSee the maturity model
✓ One workflow first✓ Fixed-scope review✓ Managed-service build path
Findone workflow worth fixing
Buildthe right v1 architecture
Runas a managed service
1. IdentifyPick one workflow where AI can reduce friction.
2. MapClarify knowledge, questions, tools, handoff and approvals.
3. BuildDefine a narrow v1 assistant or workflow agent.
4. RunMonitor, evaluate and improve monthly.
Architecture maturity

Use the model to avoid buying a chatbot when you need a workflow.

The review translates Agentic RAG architecture into a practical decision: should you start with a knowledge assistant, an intake workflow, or a managed workflow agent?

1

Traditional RAG

Best when the main need is approved knowledge search and simple answers.

  • ✓FAQs and service guides
  • ✓Internal SOP lookup
  • ✓Website knowledge assistant
2

Agentic RAG

Best when the assistant must ask better questions, retrieve context, use approved tools and prepare handoff.

  • ✓Quote intake
  • ✓Service enquiry triage
  • ✓Job-ready summaries
3

Managed Multi-Agent / Hierarchical RAG

Best when different agents handle retrieval, verification, workflow action and reporting.

  • ✓Multi-location workflows
  • ✓Internal knowledge systems
  • ✓Managed service operations
Review output

Get a practical architecture recommendation before you build.

The output makes the next decision easier: proceed with a simple assistant, scope a workflow agent, or pause because the business case is not strong enough yet.

Not a generic AI strategy reportThis is a fixed-scope workflow architecture review focused on one practical workflow, one user group or site, one measurable outcome, and a realistic v1 build path.
Example deliverable

AI Workflow Architecture Review

Example sections in the review output.

Workflow selectedQuote intake, service triage, internal knowledge, job sheet or branch routing
Maturity stageTraditional RAG, Agentic RAG or Managed Multi-Agent / Hierarchical RAG
Data sourcesWebsite, documents, SOPs, forms, CRM export, job data or approved knowledge base
Control modelGuardrails, human approval, escalation and logging requirements
Build pathRecommended v1 scope, exclusions, assumptions and managed-service model
Next stepFixed-scope build, pilot, or no-build recommendation
How it works

Start with one workflow, not an open-ended AI project.

The first review is kept narrow so it creates a clear commercial decision instead of becoming a broad architecture exercise.

1

Review the workflow

Identify what breaks: slow response, missing details, manual routing, weak handoff or knowledge inconsistency.

2

Map the AI pattern

Decide whether v1 should be a knowledge assistant, intake workflow, workflow agent, expert system or multi-location pattern.

3

Define the build path

Convert architecture into setup scope, exclusions, handoff model, controls, reporting and monthly optimisation.

Best for operational workflows where answers alone are not enough.

Use the review when you need to decide what kind of AI system is worth building first.

Quote requestsCollect job type, location, timing, photos and requirements before callback.
Service enquiriesRoute requests to the right team with enough context to respond faster.
Internal knowledgeHelp staff find approved answers, SOPs, rules and guidance.
Multi-location workflowsStandardise intake, routing, approval and reporting across sites.
Fit check

Check whether this review is a good fit.

The architecture is useful only when it leads to a practical business decision.

Good fit

Use this when...

  • ✓You have one workflow where AI could reduce admin, improve response or clean up handoff.
  • ✓Your team chases details, repeats answers or manually routes enquiries.
  • ✓You need a managed service, not a broad AI transformation project.
  • ✓You want to know whether to build a knowledge assistant, workflow agent or expert system.
Poor fit

Do not use this first if...

  • -You only need a basic form or simple FAQ page.
  • -You want a broad AI roadmap with many workstreams.
  • -You need open-ended custom software development.
  • -Your main need is governance, audit, DDQs or regulator-aligned assurance.
Fixed-scope review

Start with a review before you commit to a build.

The review creates a clear scope decision and can be credited against a fixed-scope implementation if you proceed within 30 days.

Recommended first step

AI Workflow Architecture Review

from A$1,250 fixed-scope review

For one workflow, one business unit/site and one practical outcome. Larger multi-site or partner workflows are scoped separately.

  • ✓Current workflow snapshot
  • ✓AI maturity-stage assessment
  • ✓Recommended solution pattern
  • ✓Data source and knowledge review
  • ✓Handoff, approval and logging model
  • ✓Fixed-scope build recommendation
  • ✓Managed-service path
Not included

What is not included by default

The review is deliberately narrow so it creates a useful decision and does not become unpaid solution design for a broad build.

  • -Complete implementation build
  • -Deep CRM, ERP or job-system integration design
  • -Unlimited workflow mapping across departments
  • -Detailed governance, DDQ or assurance pack
  • -Private hosting, dedicated environment or enterprise procurement support

Prices are in AUD and include GST where GST applies. Final pricing depends on workflow complexity, content readiness, stakeholder access and required outputs.

Architecture review

Get my workflow reviewed.

Share the workflow you are considering. We will assess whether a knowledge assistant, intake workflow, workflow agent or managed multi-agent pattern is the right first move.

What happens next

  • ✓We review the workflow and current process.
  • ✓We identify whether v1 should answer, ask, route, hand off or act.
  • ✓We recommend a simple no-build path, fixed-scope build or managed AI workflow agent.

You get a practical recommendation before implementation is scoped.

This is a fixed-scope review and managed service pathway, not a software licence checkout.

Questions before you submit.

Is this an architecture-as-a-service offer?

Not as a broad enterprise architecture service. It is a fixed-scope AI workflow architecture review that helps decide what to build first and whether the business case supports a managed implementation.

Is this just a chatbot review?

No. A chatbot may be the interface, but the review looks at knowledge, workflow, handoff, approval, logging and managed improvement.

Can this lead to implementation?

Yes. If the fit is strong, the next step is usually a fixed-scope build followed by monthly monitoring, tuning, content updates, reporting and controlled optimisation.

What if we need governance or assurance?

That should be scoped separately. Governance, audit, approval, evidence packs, DDQs or regulator-aligned assurance work are not bundled into the standard AI Strategy Tools managed workflow offer.

Ready to move from AI answers to managed AI workflows?

Start with one workflow. If the fit is strong, the next step is a fixed-scope build and managed monthly service.

Get my workflow reviewed
AI Strategy Co.

AI Strategy Co. delivers practical managed AI solutions for enquiry handling, intake workflows, job-ready handoff, knowledge assistance and operational workflow support.

Pricing is indicative and confirmed after scoping. Final pricing depends on agreed inclusions, usage, content readiness, integrations, support requirements, deployment model and approved commercial terms.

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