Map the work as it happens today.
Bring one recent example from beginning to end: the input, every handoff, the systems touched and the final decision or output. We record volume, waiting time, repeated entry, common errors and the people who resolve unusual cases. This gives the assessment a real operating baseline.
A process is a stronger candidate when its purpose is stable and examples are available. If the team still disagrees about the desired outcome, clarifying the process may create more value than automating it.
Give rules, AI and people different jobs.
Deterministic checks should remain explicit rules. AI-assisted steps may help classify text, extract information or prepare a draft where variation is expected. A person should review outputs when the consequence, ambiguity or sensitivity requires judgement.
- Define accepted inputs and required outputs.
- Name the system of record for each important field.
- Specify confidence, review and approval conditions.
- Route missing data and failed connections to a visible queue.
Prototype safely before connecting live systems.
The free proof of concept uses dummy or public sample data to demonstrate a bounded workflow and outline a possible first pilot. It does not connect accounts, process production records or prove a financial return.
A paid pilot has a separate scope for access, data handling, integrations, test cases, security responsibilities and rollback. We agree acceptance criteria before implementation so a convincing demonstration is not mistaken for an operational system.
Design the handover as part of the workflow.
Every live automation needs an owner, a recovery path and a way to pause it. The handover should explain connections, prompts or rules, review steps, costs and known limitations. Changes to an upstream form or API can alter the result even when the automation itself has not changed.
We start small enough to observe. The team reviews exceptions and actual effort before expanding volume or adding more steps. Ongoing maintenance and vendor subscriptions are stated separately from the pilot.
Questions before you start
Questions before you start
What is included in the free workflow assessment?
A discovery conversation about one repeat task, a sample-data proof of concept where suitable, and an outline of the inputs, controls, human checks and scope a first live pilot would require.
Will every step use AI?
No. A reliable workflow often combines ordinary rules, existing software and human decisions with a limited AI-assisted step. We recommend the simplest approach that fits the task.
Can you guarantee time savings?
No. We can define a baseline and measurement plan, but the result depends on real volume, exception rates, review effort, adoption and system reliability. A live pilot provides evidence for the decision.