[ AI readiness · Buyer guide 2026 ]
// 14 / 20AI Automation Readiness Assessment 2026
Automate the right work—with the right controls.
Score processes for value, feasibility, data readiness, risk and safe human oversight.
Check whether your workflow is ready for automation.
What makes a workflow ready?
Document the steps, exceptions, data access, systems and accountable owner. Define what success looks like and how people will handle failures.
What should we do if the process keeps changing?
Clarify and stabilize the workflow before automating it broadly. A limited pilot can help expose unresolved requirements.
Which workflows are good first candidates?
Frequent, repetitive work with measurable delay or rework, usable data and manageable consequences when something goes wrong—such as document intake, triage or knowledge lookups.
What a good engagement should deliver.
Use these as a checklist: any proposal worth signing should show how it will produce each one—and what evidence you will see along the way.
Ranked automation portfolio
Your candidate workflows scored and ranked on value, stability, data, feasibility and risk—so the first pilot is the one most likely to pay off.
Ask to see
A scored shortlist of workflows with the evidence behind each score.
Risk-adjusted business case
A business case that counts review time, exceptions and run costs—and states what could go wrong and how likely it is—rather than best-case savings.
Ask to see
A risk-adjusted value estimate per workflow, with the assumptions written down.
Pilot and governance plan
A bounded pilot with clear success measures, human approval points, a manual fallback and a named owner who will run it afterwards.
Ask to see
A pilot plan with evaluation cases, approval rules, fallback steps and the accountable owner.
Score the workflow before choosing the technology.
Rate each dimension from 1 to 5 and require evidence for the score. A strong candidate combines meaningful value, repeatable work, usable data and manageable consequences when the system is wrong.
Rate one candidate workflow on each dimension from 1 (weak) to 5 (strong). Ask for the evidence before you accept a score.
Strong means: Frequent work, material delay or costly rework. Evidence: Volume, handling time, backlog, error and service data.
Strong means: A defined path with explainable exceptions. Evidence: Process map, decision rules and exception log.
Strong means: Representative, permitted and accessible inputs. Evidence: Sample data, permissions, retention and quality review.
Strong means: Reliable integration path and bounded actions. Evidence: API review, architecture constraints and failure modes.
Strong means: Clear limits, approvals, fallback and accountability. Evidence: Risk tier, evaluation criteria, human gates and incident owner.
A conversation aid, not an assurance of success. Validate every score with an owner and evidence, and repeat the scorecard for each candidate workflow to compare them.
Choose an approach your team can manage.
| Model | Use when | Watch-out |
|---|---|---|
| Rules automation | Inputs and decisions are deterministic | Exception proliferation |
| Low-code integration | Standard systems and moderate complexity | Platform sprawl |
| AI-assisted workflow | Language or documents require bounded judgement | Evaluation and hallucination risk |
| Agentic workflow | Multi-step adaptive work has strong controls | Highest autonomy and monitoring risk |
Questions that reveal real capability.
Ask for a relevant example, the decision made, the result or learning, and the person who would own the work.
- 01What measurable problem does this process create?
- 02How frequent and costly are exceptions?
- 03Which decisions can be deterministic?
- 04What data is sensitive or unreliable?
- 05What error could harm a person, customer or record?
- 06Where must a human approve, override or investigate?
- 07How will quality, latency, cost and drift be monitored?
- 08What manual fallback operates during failure?
Understand the risks before starting.
| Risk | Early warning | Control |
|---|---|---|
| Wrong process selected | Low volume or value | Portfolio scoring |
| Automating waste | Broken process preserved | Simplify first |
| Unsafe autonomy | No human gate | Risk-tiered approvals |
| Weak data | Manual correction dominates | Data-readiness work |
| No operating owner | Pilot orphaned | Named product owner |
Measure outcomes—not activity.
Set a baseline and a 90-day target for each with your team before work begins.
Move from evidence to operating rhythm.
Days 1–30
Inventory and score candidate workflows
Exit evidenceBaseline, owners, approved requirements and risks
Days 31–60
Validate data, prototype bounded pilot and evaluation
Exit evidenceWorking outputs, evidence and decision record
Days 61–90
Approve scale, operating controls, monitoring and ownership
Exit evidenceMeasured result, operating owner and next backlog
Speak the same language.
| Term | Plain-language meaning |
|---|---|
| Deterministic | Same valid input produces a defined result. |
| Probabilistic | Output varies and requires evaluation. |
| Human gate | Required approval before consequential action. |
| Fallback | Safe manual or alternate route. |
| Observability | Evidence showing workflow behaviour. |
| Drift | Performance change over time. |
Know what you are actually buying.
Evaluation set
In practice: A pilot is tested on routine cases, exceptions and known failure examples.
Buyer decision: Use representative cases before claiming the workflow is ready.
Human gate
In practice: A person approves high-impact actions while routine low-risk cases are processed automatically.
Buyer decision: Specify which decisions require review and who is accountable.
What makes a good first automation pilot?
Choose a frequent, bounded workflow with usable data, a clear owner, measurable baseline and manageable failure consequences. Test representative exceptions, not just ideal examples.
Make your next conversation count.
Choose an outcome, explore a delivery model and check what your team can already prove. The result is a brief you can copy into a planning conversation—no contact details required.
Best when: Inputs and decisions are deterministic. Watch for: Exception proliferation.
Turn the guide into a decision.
Check your readiness, get a planning range or talk it through with us. Prefer the phone? Call 604.595.2495.