AI Implementation and Automation Scoping | Iron Rock Consulting
Scope Before Software · AI & Automation Scoping

Understand the work before you buy the software.

Most businesses do not need another tool before understanding the process they want to improve. We examine the workflow, desired result, people, systems, data, constraints and risks before recommending whether AI or automation makes business sense.

The first step
30-minute fit conversation.
The starting point
The business outcome.
The commitment
Evidence before implementation.
01 · Who it fits

The demo works. Will the process?

For business owners and leadership teams considering AI, automation or improvements to existing technology. The risk is not just choosing the wrong tool. It is automating inefficient work, buying software nobody needs or funding a project without a measurable outcome.

Start here when you have possible use cases but no clear priority, a workflow that depends on manual workarounds, or uncertainty about data, system access and implementation risk.

The diagnostic

Follow the actual work.

  • Define the desired result, process owner and affected people.
  • Map inputs, decisions, handoffs, exceptions and outputs.
  • Identify bottlenecks, duplicate work and unclear responsibilities.
  • Check whether the work is necessary, repeatable, stable and measurable.
Readiness and risk

Test the conditions for a useful change.

  • Review available data, quality, permissions and sensitivity.
  • Assess existing systems, integrations and access requirements.
  • Examine staff capacity, adoption needs and maintenance ownership.
  • Define failure consequences, human review and stop conditions.
02 · Potential deliverables

A decision-ready scope. Not a shopping list.

Deliverables depend on the agreed engagement. The proposal identifies what will be assessed, what evidence is needed and which outputs are included.

Problem and workflow

Define what needs to change.

A defined problem statement, current workflow assessment, constraints and a baseline of the work being evaluated.

Priorities and gaps

Separate opportunity from readiness.

A prioritized opportunity list based on potential value, feasibility and risk, with data, system, ownership or capability gaps to address first.

Approach and business case

Compare practical alternatives.

Recommended tools or approaches, including existing software features and process repair. A preliminary business case can identify expected costs, possible benefits, assumptions, uncertainty and what a pilot must verify.

Roadmap and acceptance

Make the next decision explicit.

A phased implementation roadmap where warranted, with dependencies, responsible owners, human approvals, acceptance criteria and review or stop points. A roadmap does not authorize a build.

03 · Measure before committing

Set the baseline. Then test the case.

Agree relevant KPIs before recommending implementation: cycle time, staff effort, error or rework rate, throughput, cost per task, or another measure tied to the desired result. Record definitions, data sources, sample limitations and the accountable owner.

If AI is a candidate, define task-specific quality tests, acceptable failure conditions and the human review required. Compare any pilot against the baseline, including the effort to review and maintain it.

Potential value is a hypothesis to test. Savings, revenue, AI accuracy and implementation results are not guaranteed. If the baseline or evidence is inadequate, the recommendation may be to gather better evidence first.

04 · How the engagement moves

Diagnose first. Choose the next step.

Discuss the business problem.

Start with the existing 30-minute Consult & Information event. Bring the workflow, desired outcome and current constraints. This unpaid introduction is a fit conversation, not a full diagnostic.

Agree the diagnostic scope.

Define the workflow, access, evidence, deliverables, responsibilities, timeline and fees. Review only information the business is authorized to share. Deeper assessment begins under its own agreement.

Assess and compare.

Review operations, bottlenecks, data and systems. Compare operational repair, existing tools, conventional automation and AI against the outcome, risk and preliminary business case.

Recommend a proportionate next step.

The evidence may support no implementation, operational repair, a limited supervised pilot or a larger phased implementation. Any pilot or implementation needs separate authorization, acceptance criteria and delivery terms.

Is this an Akrithos implementation contract?

No. Scope Before Software is an Iron Rock Consulting diagnostic engagement. Akrithos provides AI education, training and implementation services where appropriate. If Akrithos is recommended for delivery, the provider, contracting entity, scope, data handling and commercial terms are confirmed separately. Iron Rock scoping does not automatically create an Akrithos engagement.

Which calendar should I use?

Use Discuss AI Scoping for the existing 30-minute Consult & Information introduction. The separate 60-minute Akrithos AI Scoping Call is a different service-specific appointment; it is not the default destination for this page.

What if the right answer is no new software?

That is a valid recommendation. Removing unnecessary work, clarifying ownership, improving data or using an existing feature may be more appropriate. The objective is a better business decision, not a predetermined technology purchase.

05 · Service boundaries

Match the service to the constraint.

This service diagnoses and scopes AI or automation opportunities. It does not supply fractional executive authority, ongoing advisory, sales training or revenue-system implementation by default.

Start with the work

What result should the technology serve?

Bring the workflow you want to improve to a 30-minute Consult & Information conversation. We’ll discuss fit and whether a deeper diagnostic is appropriate. An inquiry creates no obligation to buy.

Scoping engagements are with Iron Rock Consulting, LLC. Alex is the principal; capacity, responsibilities and deliverables are agreed before work begins.