Workflow baseline and economics
One consequential workflow, measured as it runs today: volumes, cycle times, cost per transaction and where the hours actually go. The baseline that makes ROI claims checkable later.
The Discovery Sprint · Fixed Fee, Two Weeks
Your AI Opportunities,Found and ROI-Rankedin Two Weeks
Fixed fee, quoted on application
Two weeks, one embedded pod
S.01 · The Direct Answer
What is a Discovery Sprint?
The Discovery Sprint is Nugawi's fixed-fee entry engagement: quoted on application, two weeks, one embedded pod. We baseline one high-value workflow and its economics, rank your AI opportunities by return, and hand you a build roadmap you can execute with us, or without us.
A two-week, fixed-fee engagement that answers one question: where does AI pay back first in your operations? A Nugawi pod baselines a real workflow, ranks the opportunities by ROI, and delivers an architecture and roadmap. It replaces open-ended advisory with a decision you can take to your board, and it costs the same whatever we find.
On application Fixed Fee
Two weeks Duration
Go/no-go pack Output
None Obligation After
S.02 · Deliverables
What is in the decision pack?
Everything your board needs to approve, fund and start an AI deployment, and everything another provider would need to deliver it.
ROI-ranked opportunity list
Every candidate AI and automation use case we found, ranked by modelled payback, not by novelty. You see the ranking logic, the assumptions and the data behind each estimate.
Architecture and transformation sequence
For the top opportunity: the proposed agent and integration architecture, the deployment approach on Claude and AWS, and the sequence that gets you to production fastest without breaking operations.
Build roadmap and pricing
A scoped roadmap for a 90-day production build, with the build quoted before you commit. Yours to execute with us, or to hand to anyone else: no lock-in, no exclusivity.
S.03 · How It Runs
How the two weeks run
A transparent path from kickoff to a decision pack, led by your embedded pod.
Days 1 to 3: Embed and choose the workflow
The pod sits with your operations people, maps candidate workflows, and locks the baseline target: high-value, measurable, consequential.
Days 4 to 7: Baseline the workflow
Measure the workflow as it runs today: volumes, cycle times, handoffs, exceptions and cost per transaction. No estimates where measurements exist.
Midpoint: opportunity ranking
A working session where we rank candidate use cases by modelled ROI against your baseline, and you challenge the assumptions with us in the room.
Days 8 to 10: Architecture and roadmap
Agent and integration design for the top opportunity, the transformation sequence, evaluation criteria and a scoped, fixed-price build roadmap.
Handoff: your go/no-go pack
The full decision pack, presented to whoever decides. If the answer is go, the next step is a Lighthouse Deployment. If it is no-go, you keep the pack.
S.04 · Why a Fixed-Fee Sprint
Why start with an ROI-first Discovery Sprint?
The entry point to every Nugawi engagement
The Discovery Sprint is how a forward-deployed pod starts: a clear pricing structure, a framework for ROI, and a decision pack that survives contact with your board. Most clients continue to a 90-day Lighthouse Deployment; the sprint is built to be enough on its own.
Assessments drift, sprints end
Open-ended AI assessments bill by the day and grow to fit the budget. A fixed fee and a two-week box force the question to be answered: where does AI pay back first?
A baseline you can audit later
Because the workflow is measured before anything changes, the outcomes of a later deployment are checkable against day-zero numbers, not against a story.
No dependency by design
The pack is written to be executable without us. We win the build on the quality of the plan, not on the switching costs of having produced it.
S.05 · FAQ
Discovery Sprint FAQs
Common questions about starting an engagement with a fixed-fee sprint.
A fixed-fee, two-week engagement where a Nugawi pod embeds with your team, baselines one high-value operational workflow and its economics, and turns that baseline into an ROI-ranked list of AI opportunities with a build roadmap. It is the entry point to every Nugawi engagement, and it is designed to be valuable even if you never work with us again.
A go/no-go decision pack: the baselined workflow and its cost economics, an ROI-ranked list of agent and automation opportunities, the proposed architecture and transformation sequence for the top opportunity, and a build roadmap with scope and pricing you can take to your board. It is yours to execute with us, or with anyone else.
A fixed fee, quoted on application, no day rates and no meter running. If you proceed to a 90-day production build, the sprint findings scope it and the build is quoted before you commit, so you only commit where the ranked payback clears your hurdle. Engagement structure: https://nugawi.ai/pricing.
Two weeks as standard. Week one embeds the pod with your team and baselines the chosen workflow; week two ranks opportunities by ROI and designs the architecture and transformation sequence. Midpoint and final readouts happen in the room or on a call, whichever fits your calendar.
One that is high-value, measurable and operationally consequential: order-to-cash, procure-to-pay, shipment-to-settlement, document-to-decision or enquiry-to-resolution are typical starting points. If you are unsure, the first days of the sprint identify the right candidate before we lock the baseline.
No. The Discovery Sprint is the only commitment you make up front. The decision pack is deliberately built to be executable without us: workflows, requirements, architecture and evaluation criteria are all documented. Most clients continue to a Lighthouse Deployment; none are contractually required to.
S.06 · Start
Know Where AI Pays Back First?
Two weeks.
Two weeks, one workflow, one decision pack. Talk to a Deployment Strategist about baselining your first workflow.