Foundation
a map of operations, owners, data, and recurring friction
Process assessment
An automation audit that identifies useful processes without losing control
We identify processes where AI or rule-based automation may reduce repetitive work while keeping responsibility, exceptions, and quality checks visible.
Who this is for
This audit is for teams that know manual work is accumulating but need to distinguish stable, testable operations from processes that are too ambiguous, sensitive, or poorly documented to automate safely.
How we work
We map current operations, inputs, outputs, owners, delays, errors, data quality, and decision points. Candidates are ranked by expected value, feasibility, and risk. The strongest option receives a limited prototype concept and a staged implementation plan rather than an immediate full deployment.
What you receive
The final configuration follows the approved brief, channels, source materials, schedule, and rights framework.
Production
a prioritized list of automation candidates with risks and dependencies
Delivery
a prototype concept for one bounded process
Launch
an implementation plan with controls, acceptance criteria, and next decisions
Typical projects
Use these examples as a starting point. A producer will confirm the actual production route after reviewing the brief.
reviewing content intake and routing
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
assessing repetitive document or knowledge work
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
selecting a low-risk pilot before wider integration
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
Scope and limitations. An audit does not guarantee that automation is appropriate or that a specific saving will be achieved. Feasibility depends on data quality, access, service constraints, exception frequency, legal requirements, and the team’s ability to own the process. Any implementation, integration, and ongoing monitoring are scoped separately.
Questions before you start
Open a question to review the production boundary before briefing the team.
What can an automation audit cover?
We identify processes where AI or rule-based automation may reduce repetitive work while keeping responsibility, exceptions, and quality checks visible.
What deliverables might be included in an automation audit?
Depending on the brief, deliverables can include a map of operations, owners, data, and recurring friction; a prioritized list of automation candidates with risks and dependencies; a prototype concept for one bounded process; and an implementation plan with controls, acceptance criteria, and next decisions.
What scope boundaries should be confirmed for an automation audit?
An audit does not guarantee that automation is appropriate or that a specific saving will be achieved. Feasibility depends on data quality, access, service constraints, exception frequency, legal requirements, and the team’s ability to own the process. Any implementation, integration, and ongoing monitoring are scoped separately.
An automation audit starts with the process, not a software choice
Not every manual step should be automated. The current workflow, volume, error pattern, and accountability are examined first so a useful scenario is separated from an impressive but unnecessary integration.
Purpose
Repeated actions, delays, and handoffs are mapped with a process owner and a measurable improvement criterion.
Inputs
Data sources, access, formats, personal information, exceptions, and current procedures are reviewed, with unknown areas kept visible.
Production cycle
Manual, rules-based, and AI routes are compared before selecting a limited pilot, human control, logging, and stop conditions.
Delivery
The result is a prioritised map, pilot requirements, risks, dependencies, and resource range without claiming savings before measurement.
Scope boundary. The audit does not automatically include implementation, licences, or access to restricted systems. Benefits are confirmed only through approved data and pilot metrics.
Related pathways
Move from the current task to production, evidence, estimation, or project launch without losing context.
An automation audit that identifies useful processes without losing control
From a question to a verifiable answer
Inputs
Define users, recurring questions and the actions the assistant is permitted to take. Assign a source and an update owner to each answer. Public information, internal documents and personal data need different access rules.
Working review
Test precise and ambiguous questions, stale sources and missing answers using examples without unnecessary personal data. The assistant should state its limits and route unresolved cases to the responsible person.
Handoff
Agree a change log, source-review schedule and a way to disable faulty scenarios. Test search and navigation first, then external actions separately. A chat response alone is not evidence that an operation was completed.