Work that repeats
Rekeying, document preparation and routine requests with recurring patterns.
Services
AI Operations Assessment
Understand how work moves through your business, identify practical opportunities, and prioritise improvements on evidence.
Who it is for
For CTOs, COOs, CEOs, CFOs and senior engineering management in firms with fewer than 100 employees. Particularly useful when you can see operational friction but need a clear view of what to change, what to invest and what to leave alone.
Problems we examine
Work that gets stuck
Handoffs, approval queues and missing context between people or systems.
Information that is hard to use
Manual reporting, fragmented records and time-consuming lookups.
Automation that creates new work
Exceptions, unreliable outputs and maintenance costs that erode the benefit.
How the assessment works
- Discover: define the operational question, stakeholders and desired outcome.
- Map: follow inputs, decisions, systems, handoffs and exceptions.
- Evaluate: assess value, feasibility, risk and simpler alternatives.
- Prioritise: identify a sensible next step and what must be tested.
What you receive
The depth of each output depends on the agreed package. A one-day workshop provides an opportunity summary, rather than the detailed cross-functional work of a month-long engagement.
- Current workflow map: how work moves and where friction arises.
- Opportunity register: candidate improvements and the questions behind them.
- Constraints and risks: access, dependencies, data quality and oversight.
- Indicative costs and benefits: assumptions to validate, not guaranteed savings.
- Prioritised roadmap: a sequence proportionate to your resources and objectives.
An assessment, made tangible
Illustrative assessment preview — not a live client workspace
Customer enquiry handling
A sample operational question: how can an enquiry move from the shared inbox to a reviewed response with less manual coordination?
Boundary: receipt of an enquiry through to human approval of a draft response. Tools, volumes, access and costs would be established during discovery.
From enquiry to reviewed response
- Customer enquiry arrives by email
- Manual triage identifies the request
- Information is looked up in agreed sources
- A response is drafted
- A person reviews before sending
Opportunity register
| Opportunity | Estimated saving | Budget | Oversight |
|---|---|---|---|
| Assisted enquiry triage | To be assessed | To be assessed | Human review and escalation |
Feasibility depends on enquiry types, data quality, integration options and the consequences of misclassification.
A proposed route forward
Validate the need
Proposed — establish volume, handling time and exceptions.
Test one bounded case
Proposed — agree evaluation criteria and human approval.
Decide whether to proceed
Proposed — compare operating cost, reliability and review effort.
Choose the depth you need
Start with a one-day introduction, investigate a workflow over five days, or assess an agreed set of functions in a one-month engagement. Package fees are TBC.
Compare scope and deliverablesCommon questions
Do we need to know which AI tool we want?
No. Start with the workflow and the outcome. Tool selection follows the problem, constraints and economics.
Will the assessment implement a production system?
Production implementation is separately agreed. The assessment helps define a feasible scope and a decision to proceed; any prototype must be explicitly included.
What if AI is not the right answer?
A clearer process, an existing software feature or standard automation may be the better route. The recommendation should reflect that.
How much system access is needed?
Access is agreed for the scope. Initial discovery can use walkthroughs and appropriately redacted examples; any further access should be proportionate to the question.
Start with a real workflow
Tell us what happens today, which tools are involved and what better would look like.
Discuss your requirements