1. Observe
Walk through the current process with the people doing it. Collect examples, exceptions, tools, delays, and the existing baseline.
A contained first AI engagement
An AI Workflow Sprint. One useful proof.
The AI Workflow Sprint takes one repeated business process from observation to a working pilot. Doconest maps the current work, defines the boundaries, builds the smallest complete workflow, tests it with your team, and measures what changed.
01 / Why a sprint
Enough scope to learn. Not enough to disappear for months.
AI adoption often stalls between experimentation and real work. Staff have tried general tools, leaders see many possible uses, and nobody knows which project deserves access to operational data or engineering time.
The sprint creates a smaller decision. We choose one workflow with a clear owner and real examples. Then we build the narrowest version that can complete the path from input to reviewed outcome. The purpose is not to demonstrate that AI can generate text. It is to learn whether a particular workflow should become part of the operation.
A sprint is not a promise that every selected idea will scale. It is a disciplined way to discover usefulness, limitations, operating cost, staff fit, and risk before a larger commitment.
02 / The work
From the workaround to a working pilot.
2. Bound
Choose the exact input and output, name the owner, define what AI may do, and mark every point that requires human review.
3. Build
Create the smallest complete workflow, including the interface, rules, AI step, integration, logging, and exception path needed for use.
4. Test
Run representative and difficult examples with the team. Record errors, corrections, turnaround, and the practical cost of operation.
5. Handover
Document how the pilot works, where it should not be used, how staff review output, and who responds when something fails.
6. Decide
Compare the result with the baseline and choose whether to improve, expand, integrate more deeply, pause, or stop.
03 / What you receive
The pilot and the operating knowledge around it.
A prototype that only works during a demonstration is not enough. The sprint includes the decisions and materials needed for your team to judge the pilot honestly and continue operating it within the agreed scope.
- 01Current-state map. The steps, tools, roles, inputs, exceptions, and delays in the selected workflow.
- 02Success measure. A baseline and practical measure such as staff time, turnaround, response time, completeness, or correction rate.
- 03Working pilot. The interface, automation, AI component, and necessary integration for the bounded workflow.
- 04Evaluation examples. A reusable set of ordinary, difficult, and unsafe cases with expected handling.
- 05Safe-use note. Data boundaries, access roles, review points, known limitations, and prohibited uses for this workflow.
- 06Handover and decision brief. Operating guidance, staff walkthrough, findings, and recommended next step.
04 / Fit
Bring a workflow, not an AI wish list.
The sprint works best when the organization can nominate a process owner, provide representative examples, and make users available for review. The selected task should repeat often enough to matter and have an outcome the team can judge.
A good fit
Recurring document work, reporting, internal search, request handling, data movement, approvals, or other bounded knowledge work.
Needs discovery first
Several departments have different problems, the process has no owner, or the organization cannot yet identify a useful baseline.
Needs a broader build
The work requires a new system of record, many user roles, a large customer product, or extensive integration before any pilot can operate.
Not appropriate
A fully autonomous high-stakes decision, unavailable source data, no person able to review quality, or a goal defined only as “use AI.”
If you are unsure which workflow to select, begin with AI consulting and opportunity assessment. If the workflow is already clear but needs implementation, see AI automation in Nepal.
05 / Scope and timing
Defined after we see the real workflow.
The sprint is fixed around one workflow, but its exact duration and commercial scope depend on access, integration, document variety, review requirements, and the pilot interface. We confirm those details after a discovery conversation and a quick review of representative material.
Third-party software, model usage, hosting, messaging, or data services are identified separately when they are needed. You will know which costs belong to the build and which continue during operation.
We do not publish a universal savings guarantee. Before work starts, we agree on what will be measured and which result would justify the next investment.
06 / Questions
Before starting the sprint.
No. We need access to the process owner and staff who understand the work. We explain the technical choices and identify any internal responsibilities before the pilot operates.
Yes, for the single bounded workflow described in the agreed scope. A larger production rollout, additional departments, or new product features are separate decisions after evaluation.
A simple explanation, screen recording, sample spreadsheet, blank document, or anonymized example can help. Do not send sensitive business data over WhatsApp before we agree on a safe transfer method.
That is a valid result. The decision brief records what was learned and whether the issue was data, quality, workflow fit, cost, risk, or expected value.
One useful workflow
Show us the manual version.
The first conversation is about the work: what arrives, who handles it, where it slows down, and what a better outcome would mean.
WhatsApp: +977 9700533219
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