01
Question framing
Define the technical and business uncertainty the POC must resolve.
AI proof of concept
A focused proof of concept that answers the question behind the idea.
Evidence led prototypes that answer the question behind the AI idea.
We build the smallest credible demonstration of value, technical feasibility and risk, so the next investment decision is based on evidence.
Evidence over assumptionsKnown constraintsDecision ready demoClear next phase
BYOND BOUNDRYS CONSULTINGApplied AI
Capability focusAI Proof of Concept
01Decision question05Test stages0Hidden assumptions
Why this matters
Turn the AI opportunity into a workflow people can actually use.
A POC should not be a polished demo with the hard parts hidden. It should test the data, workflow, model behaviour and acceptance criteria that determine whether a real pilot is worth funding.
What we build
A connected blueprint, not a list of disconnected features.
We align experience, intelligence, data and operations around the job your team needs to complete.
02
Representative data slice
Use realistic examples without overbuilding the production data platform.
03
Working interaction
Create a small but credible workflow users can experience and review.
04
Evidence and recommendation
Document what worked, what failed and what production would require.
How we make it dependable
Design principles that keep the system useful after launch.
01Test the uncertainty that changes the investment decision.
02Use a realistic slice without pretending it is production.
03Show limitations as clearly as the happy path.
04End with a recommendation, not only a demo.
How it comes together
A delivery path with visible decisions.
The sequence keeps scope, evidence and ownership clear from the first conversation to the next release.
- 01Question
Frame the business and technical uncertainty.
- 02Slice
Select data and the smallest credible path.
- 03Build
Create a working interaction stakeholders can test.
- 04Decide
Turn evidence into a funded next step or a stop.
Delivery workflowDefine the decision → Select evidence and data → Build the critical path → Test with stakeholders → Recommend pilot, revise or stop
What you receive
Useful artefacts, not only advice.
Every engagement is shaped around practical outputs that help your team make a decision, start a build or operate the next version.
01POC brief and acceptance criteria
02Working prototype
03Representative test set
04Findings and limitations
05Pilot recommendation and backlog
Technology layer
The stack follows the workflow.
We choose tools for fit, control and maintainability, not because a logo is fashionable.
Python
FastAPI
React
Azure OpenAI (GPT-4o)
Google Gemini Flash
PandasPydantic
Docker
FAISSReady for the next step?
Bring us the workflow behind the requirement.
We can help shape the first release, architecture and evidence needed to move forward.