01
Opportunity map
A ranking of 3–5 workflows by value, feasibility, risk and time to first impact.
AI Opportunity Sprint
Find the workflow where AI can materially improve your business.
In 10 business days, we examine your workflows, data and constraints. We select one use case with the best value-to-risk ratio and deliver a pilot plan with budget, architecture and measurable success criteria.
- 10 business days
- No demo for demo’s sake
- Decision-ready business case
Opportunity matrixValue × feasibility
lowhighERP data handoffB2B quote copilotKnowledge assistantGeneric chatbot
We select one workflow that deserves a pilot.
Decision first, technology second
Most companies do not need another chatbot.
They need to know which workflow is worth redesigning, what data is available and where automation could create new risk. The Sprint separates operational value from an expensive experiment.
Value
We estimate the impact on handling time, operating cost, sales, margin or decision quality.
Feasibility
We examine data, integrations, workflow exceptions and dependencies on existing systems.
Control
We define evaluations, human oversight, security and conditions that stop automation.
Who it is for
It works best when the workflow already exists, but its scale is starting to hurt.
- 01Teams manually move data between ERP, CRM, PIM, WMS or documents.
- 02Customer operations lose time answering recurring questions and finding information.
- 03Sales teams spend too long preparing B2B quotes, configurations or responses.
- 04Field teams need fast access to knowledge, instructions and case history.
- 05The company has an AI idea but no agreed ROI, owner or path to production.
What you get in 10 days
A decision package, not a presentation about AI possibilities.
02
Pilot blueprint
Before-and-after workflow, MVP scope, integrations, data and human-in-the-loop controls.
03
Economic model
Pilot and production cost, value drivers, assumptions and KPIs to validate.
04
Production plan
Architecture, security, evaluations, monitoring and the next delivery stages.
How it works
From an operational bottleneck to an investment decision.
Days 1–2
Context and goals
Interviews with the workflow owner, current-cost baseline and measurable success criteria.
Days 3–5
Workflow, data and risk
Mapping exceptions, data sources, integrations, permissions and points that require human control.
Days 6–8
Concept and feasibility
Solution design and a small test of the riskiest assumption when needed.
Days 9–10
Business case and roadmap
Go / no-go recommendation, pilot budget, KPIs, production plan and stakeholder presentation.
Engagement path
Stop after the recommendation or move into production with us.
01
10 daysOpportunity Sprint
from €6k
Use-case selection and pilot plan
02
4–8 weeksWorkflow Pilot
from €20k
One workflow, real data and users
03
from 8 weeksProduction Rollout
quoted after pilot
Integrations, security and adoption
04
monthlyAI Operations
from €3k / month
Quality and cost monitoring, continuous improvement
Honest criteria
When do we recommend not building AI?
- When the workflow is rare, inexpensive and does not affect a meaningful outcome.
- When data is unavailable and cleaning it would cost more than the expected benefit.
- When an off-the-shelf SaaS product solves the problem faster and more safely.
- When the organization has no workflow owner or capacity to implement change.
Start with the workflow, not the model.
Describe the area that consumes team time or blocks growth. Within 24 hours, we will tell you whether the Sprint is the right first step.
Contact
Let's talk
about the project.
Have an app idea or need technological support? Write to us — we'll prepare a preliminary analysis and estimate within 48h. Projects that go through our DDT process (Discovery, Design & Technology) come with a price guarantee and a fixed-price agreement — a key differentiator for us.
Write to us[email protected]
Visit us
GD
gmi.software Sp. z o.o.ul. Jana Heweliusza 11 / 819
80-890 Gdansk, Poland
80-890 Gdansk, Poland
NIP: 5252816287KRS: 0000830003
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