Start with a recurring bottleneck
A standalone chatbot still leaves someone copying information in and carrying the answer out. A workflow connects the input, the useful AI task, the review, and the next action.
Good candidates have enough repetition to matter, accessible source information, and an outcome your team can assess. We look for those conditions before proposing an automation.
| Recurring task | Potential workflow |
|---|---|
| Incoming service requests | Extract key details, suggest a category, and queue the request for review. |
| Long documents | Prepare a structured summary with source references for a person to check. |
| Customer updates | Draft an update from approved project information, ready for approval. |
| Scattered internal knowledge | Help staff find relevant information within agreed sources and access rules. |
Decide what happens when the answer is uncertain
AI output can be incomplete or incorrect. A useful design specifies what the system may do, what a person must approve, and how an exception reaches someone who can resolve it. Financial commitments, sensitive decisions, and customer messages need deliberate boundaries.
We agree on sample inputs and review criteria with your team. That makes it possible to judge whether the workflow helps in practice, including difficult documents and incomplete requests.
Fit the automation into the way people work
We define the trigger, sources, permissions, review points, and destination. We then build the integration, test representative examples, and review the operating process with the people using it.
The managed scope covers hosting, maintenance, and agreed AI/API usage. Usage assumptions matter: document length, processing volume, and model choices can all affect cost. Extra usage or new capabilities are scoped and priced separately.
Judge the workflow by its business value
Useful measures include handling time, exception volume, rework, and how quickly a request reaches the right person. We establish the measures that fit your workflow rather than treating the number of AI features as the result.
Qualified existing workflows can receive a managed commitment to at least 50% lower total cost. The savings commitment requires a one-year managed agreement, billed annually. Eligibility and the written agreement define the baseline, workload, scope, measurement period, terms, and remedy, including hosting, maintenance, and AI/API usage.
A FEW PRACTICAL QUESTIONS
Good questions.
Straight answers.
Can you automate a workflow that uses several tools?
Potentially. We assess the systems, available integrations, permissions, and data quality. The assessment identifies what can be connected and where a manual or review step should remain.
Will AI send messages or make decisions on its own?
Only within the behavior agreed for your workflow. Approval requirements and exception handling are defined in scope. A draft for review is often a useful starting point.
What happens to our business data?
You always own your business data and can export all of it free anytime during your contract and for 90 days after it ends, for any reason. The proposal identifies the data needed and relevant providers, permissions, and handling requirements so you can assess the arrangement before proceeding.
Do we need an AI strategy before getting started?
No. Bring one repetitive task and examples of its inputs and outputs. We can use those to explore whether AI, conventional automation, or a simpler process change fits.