The same information moves between people and tools
Updates are copied between an inbox, spreadsheet, CRM or document, and the team spends time checking whether each handoff happened.
Find out whether a workflow is ready for AI.
A Samsoom AI workflow audit shows where work slows down, which exceptions matter, where data and permissions create risk, and which decisions must remain with people before you choose a tool or pay for a build.
one workflow at a timehuman decisions made explicitstop, simplify or test direction
When an audit helps
Start with the work that is already creating friction.
An AI workflow audit is useful when a recurring process feels expensive, inconsistent or difficult to control, but the right change is not yet clear.
The normal process looks simple until real cases arrive
Staff know how to handle missing details, unusual requests and sensitive cases, but those exceptions are not visible in the written process.
People are already trying AI without shared rules
Different tools, prompts and review habits can make it unclear what information is being used, who approves an output and how mistakes are caught.
A product is being considered before the problem is defined
The audit brings the workflow, baseline, owner and safe fallback into view before a subscription or build creates another disconnected system.
What the audit examines
Six views of one workflow, from purpose to failure.
The assessment connects how the work happens today with the controls a useful test would need. It does not assume that AI is the answer.
What problem should change?
The workflow's purpose, current pain, frequency and observable starting point are recorded before a solution or savings claim is considered.
What happens in the real process?
The trigger, normal steps, handoffs, delays, workarounds and cases that break the normal route are made visible.
Who owns the work and the judgement?
Responsibilities, approval points, escalation routes and decisions that require accountable human judgement are separated from repeatable preparation.
What information may the workflow use?
Sources, access rights, sensitivity, retention needs and missing-data behaviour are considered before any tool or connection is recommended.
What must connect—and what happens when it fails?
Existing tools, integration dependencies, retries, notifications, safe stops and the manual fallback are mapped.
How would a controlled test earn confidence?
Representative cases, review ownership, acceptance evidence, logs and conditions for revising, expanding or retiring a test are defined.
The decision
A useful audit can recommend not automating.
The outcome should be a defensible next move, not a long list of tools. Four directions keep the decision honest.
Stop
Do not pursue this AI idea
Use this direction when the purpose is weak, the risk is disproportionate, ownership is missing or the workflow should not delegate the proposed decision.
Simplify first
Improve the process or data before adding AI
Remove avoidable steps, clarify responsibility or repair source information before introducing another layer of technology.
Test narrowly
Try a bounded, reviewable use
Define a small preparation or support task, keep approval with a named person and test representative cases against an observable baseline.
Keep human
Retain the manual route
Human handling may remain the better choice when work is infrequent, highly contextual or dependent on sensitive judgement.
What you receive
Enough evidence to make the next investment deliberate.
The audit focuses on diagnosis. Scope, timing and price are agreed in writing once the workflow and required evidence are understood.
Workflow and exception map
A practical view of the trigger, steps, people, systems, inputs, outputs, delays and common exceptions.
Bottleneck and dependency review
The friction, ownership gaps, data questions and connected-system dependencies that affect the decision.
Decision and approval matrix
A record of what a system might prepare, what a person must approve, and what should stop or escalate the workflow.
Stop, simplify, test or keep-human recommendation
A written conclusion with the evidence, exclusions and next questions behind the recommended direction.
Audit boundaries
Know what the audit can decide—and what needs a specialist.
The assessment supports an operating and build decision. It does not replace legal, data-protection, security or regulated-industry assurance.
Compliance and security conclusions are separate
The audit can flag legal, data-protection, security or regulated-content dependencies, but it is not a legal opinion, DPIA, security assessment or compliance certification.
High-stakes decisions stay outside autonomous use
Clinical, financial, legal, employment and other consequential decisions require accountable human control and may need specialist review before any test.
Savings and outcomes are not guaranteed
A baseline and test plan can support later measurement, but efficiency, revenue, adoption, accuracy and service improvements are not promised.
The audit does not include a build automatically
Any prototype, integration, data preparation, training or ongoing support receives a separate written scope after the audit decision.
Choose the next route
Move from the audit question to the right engagement.
A defined workflow can continue to the full diagnostic and optional prototype path. A wider operating problem belongs in Consulting.
Defined workflow
Review the full diagnostic and build path
See the exact one-workflow diagnostic, control boundary, engagement stages and optional controlled prototype route.
Explore AI automationWider question
Start with founder-led consulting
Use Consulting when the priority spans operations, customer journey, product, data or several possible workflows.
Explore consultingDiscuss the audit
Bring one recurring workflow
Share where it starts, who is involved, which tools it crosses and where the work slows down or becomes uncertain.
Discuss a workflow auditAI workflow audit questions
Understand the decision before you request the work.
These answers separate workflow diagnosis, AI readiness, implementation and specialist assurance.
What is an AI workflow audit?
An AI workflow audit is a structured assessment of one recurring business process. It maps the real steps and exceptions, identifies friction and dependencies, defines human decisions and recommends whether to stop, simplify, keep the work human or test a narrow AI-assisted use.
How is this different from a general AI readiness assessment?
A general readiness assessment may look across the organisation. This page focuses on one named workflow so its owner, data, permissions, exceptions, failure paths and test evidence can be examined in context.
Do I need to choose an AI tool first?
No. The workflow and business problem come first. Tool options are relevant only after the purpose, control boundary, data and integration dependencies are understood.
What information is useful for the first conversation?
A rough step-by-step description is enough to start. Include who does the work, which tools or information are involved, where delays occur and examples of cases that do not follow the normal path.
What will I receive?
The agreed output covers the current workflow and exceptions, important bottlenecks and dependencies, decision and approval boundaries, and a written direction to stop, simplify, keep human or consider a controlled test.
How much does an AI workflow audit cost?
Scope, timing and price are confirmed in writing after the workflow and required evidence are understood. There is no public checkout or charge before that scope is clear.
Does the audit include building the automation?
No. If a controlled prototype is justified, its integrations, permissions, test cases, manual checks, price and timing receive a separate written scope.
Is the audit a compliance, data-protection or security assessment?
No. An AI workflow audit can flag dependencies that need attention, but it is not a legal opinion, DPIA, penetration test, vulnerability assessment, regulated-content review or compliance certification.
One workflow first
Find out whether the workflow deserves a test.
Bring the recurring task, the people involved and the point where work slows down. The first reply will focus on fit and the safest useful next step.