AI adoption5 min read
How to Choose Your First AI Workflow
A practical way to pick your first AI workflow: start from business pain and repeated work, check inputs, reviewability, risk and ownership, then set a baseline.
· Chris Austin
AI adoption and workflow design
Your business wasn’t designed for AI. Let’s rethink how it works.
Find the bottlenecks. Redesign the workflows. Help your people make the shift.
Change Architects helps growing companies connect AI to real business goals—bringing processes, people, and technology together so better ways of working become everyday practice.
Let’s talk about your workflow Book a free consultationGet practical ideas in the AI Adoption Brief.
Not sure where to start? Take the free AI Change Assessment — 12 questions, instant results.
Sound familiar?
Experimenting with AI is not the same as working differently.
AI experiments can expose friction in the work itself: repetitive steps, unclear handoffs, and decisions nobody owns.
01
The tools are here. The work hasn't changed.
People have AI licenses and a few experiments, but the day-to-day workflow looks exactly like it did last year.
02
Repetitive work still eats the week
Copying, reformatting, chasing status, and re-keying information between systems.
03
Handoffs are unclear
Work stalls between people and teams because nobody is sure who picks it up next — or when.
04
Quality and rework problems
Errors are caught late, and the same fixes get made again and again.
05
No one is sure where human judgment belongs
Which decisions can AI support, which need review, and who signs off?
06
Nobody owns adoption
A pilot launches, enthusiasm fades, and the old way quietly comes back.
How we architect the work
Understand. Architect. Activate. Sustain.
We look at the whole workflow — goals, steps, people, systems, decisions, and ownership — before deciding where AI fits. Then we help your team actually make the shift.
01
Understand
- Clarify the business outcome that matters
- Map the current workflow as it really runs
02
Architect
- Identify sensible AI opportunities — and where human judgment stays
- Redesign handoffs, roles, and ownership
03
Activate
- Pilot the new workflow with the people who do the work
- Give the team clear guidance, not just a tool
04
Sustain
- Measure what changed
- Remove barriers and keep improving
Where to start
The AI Workflow & Adoption Sprint
A focused first engagement scoped to one consequential workflow. You get a redesigned way of working and a practical plan for your team to adopt it.
01
Current process & friction map
How the workflow runs today, where it slows down, and why.
02
Proposed workflow
The redesigned process — the role AI plays, where humans review, the handoffs, and who owns each step.
03
Pilot & adoption plan
A practical plan to try the new workflow with your team, plus guidance people can actually use.
04
Measures that fit the problem
Simple ways to track what matters to you — such as turnaround time, rework, quality, or capacity.
Scope and timing are shaped around your workflow and team. The sprint focuses on process, people, and adoption — it doesn’t include building custom software.
Supporting capabilities
The change expertise behind the workflow.
New workflows only stick when people are prepared for them. These capabilities support the sprint — and can continue afterward through workshops or fractional change support.
01
AI Adoption & Readiness
Move from AI experimentation to responsible, practical, scalable use.
02Change Strategy & Execution
Practical change strategy that supports technology and business transformation.
03Training & Enablement
Training designed to change how work actually gets done.
04Process & Technology Adoption
Connect systems, processes, roles, and behavior.
Who you work with
Direct access to Chris Austin
Change Architects is an independent practice. You work directly with Chris, from understanding the business problem through designing and supporting the change.
Chris brings Fortune 500 experience leading change and transformation — including enterprise technology, CRM adoption, and training — and applies it at the scale of growing and midsize businesses.
Insights
Field notes on AI and workflow
Practical guidance on choosing, mapping, and measuring the work you want AI to change.
Workflow design5 min read
Map the Workflow Before You Add AI
Before adding AI, map the workflow as it really runs: trigger, inputs, handoffs, decisions, exceptions, outputs and owner. Includes a reusable map and questions.
· Chris Austin
AI adoption5 min read
Measure AI Adoption Beyond Logins and Training Completion
Logins and course completions alone do not establish adoption. Measure workflow use, quality, turnaround and rework, and outcomes against a baseline.
· Chris Austin
The AI Adoption Brief
Practical ideas for working differently with AI.
- One workflow problem.
- One practical redesign.
- One question to ask your team.
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What’s next
Pick one workflow. Let’s rethink it together.
Start with the workflow that matters most to your business. We’ll map it, redesign it with AI where it makes sense, and help your team make it everyday practice.