Evidence for budget
Demonstrate ROI on real data and workflows so finance and leadership approve the next phase with confidence.
90%
faster buy-in vs. open-ended pilots
AI Proof of Concept
Validate AI value in weeks, not quarters. Structured 4–8 week pilots with fixed outcomes, measurable success criteria, and a clear path to production — so you secure budget and stakeholder buy-in with evidence.
Validate in weeks — fixed scope, demo day, production path.
- Managed team
Dedicated squad on your roadmap, tools, and cadence
- Fixed-cost delivery
Agreed scope, timeline, and price for the outcome
PoCs often start fixed-cost; scale with a managed team when ready.
Scoping call within 2 business days · Fixed-cost proposal with clear success metrics
Fast pilots, clear success metrics
200+ Clients worldwide · 350+ Projects shipped
4–8 wks
Typical PoC duration from kickoff to demo
Fixed
Scope, timeline, and success metrics agreed upfront
Demo day
Executive-ready results your leadership can evaluate
Why run a PoC first
Prove value before you scale
Full AI programmes fail when teams skip validation. A structured proof of concept de-risks investment, surfaces integration gaps early, and gives leadership evidence — not slide decks.
De-risked delivery
Surface data, integration, and governance gaps in weeks — before you commit to a multi-year platform build.
4–8 wks
to validated outcome
Production path included
Every PoC ends with a roadmap, architecture notes, and cost estimates for scaling — not a throwaway prototype.
1 path
PoC → pilot → production
Not ready for a PoC yet? Start with an AI Readiness Assessment
Scope your AI proof of concept
Tell us about your use case — we will schedule a scoping call and send a fixed-cost proposal within 5 business days.
- ISO 27001:2022 certified
- Fixed-scope engagements
- Senior AI engineers only
What's included
Everything in a structured PoC engagement
Fixed scope, senior engineers, and measurable outcomes — designed to answer one question: does this AI use case work for your business?
Scoped problem definition
Align on the use case, success metrics, data requirements, and out-of-scope boundaries before build starts.
Rapid prototype on your data
Working demo built on sample or production-like data — connected to your systems where integration matters.
Success metrics & evaluation
Quantitative benchmarks — accuracy, latency, cost per query, time saved — measured against agreed targets.
Executive demo day
Live walkthrough for stakeholders with results, limitations, and a honest recommendation on next steps.
Production roadmap
Architecture, timeline, and cost estimate for moving from PoC to pilot and full production deployment.
Documentation & handoff
Technical docs, eval results, and code ownership options so your team can continue with or without us.
Delivered as a fixed-cost engagement or as the first phase of a managed team partnership.
How it works
Four phases from idea to evidence
A disciplined sprint — not an endless experiment.
- 01
Scope & align
Discovery workshop to define the use case, success criteria, data access, and fixed PoC timeline.
- 02
Build & iterate
Weekly demos with your team. Rapid prototyping on real data with integration to your stack where needed.
- 03
Measure & evaluate
Run structured evals against agreed metrics — accuracy, speed, cost, and business impact indicators.
- 04
Demo & decide
Executive demo day with results, production roadmap, and a clear recommendation: scale, pivot, or stop.
Deliverables
What you walk away with
- Working prototype connected to your data or systems
- Evaluation report against agreed success metrics
- Executive summary for leadership and budget approval
- Production architecture and phased rollout plan
- Fixed-cost estimate for pilot and full deployment
Included in every PoC
- Dedicated PoC squad with senior AI engineers
- Weekly progress demos and shared project board
- Access to your data under NDA and secure environments
- Full source code and documentation at handoff
- Option to continue with managed team or fixed-cost build
Ready to scope your PoC? Use the form above.
Common PoC types
Use cases we validate every week
If you are not sure which applies, describe your workflow in the form — we will recommend the right approach.
RAG & knowledge assistants
Search and answer across internal docs, wikis, and knowledge bases with grounded, cited responses.
Document intelligence
Extract, classify, and summarise contracts, invoices, reports, and unstructured content at scale.
AI agents & workflow automation
Multi-step agents that trigger actions across CRM, ERP, and SaaS tools with human-in-the-loop guardrails.
Customer & employee copilots
Embedded assistants for support, sales, HR, or operations — trained on your policies and data.
Classification & prediction
ML models for routing, risk scoring, demand forecasting, and anomaly detection on structured data.
AI + system integration
Validate AI outputs flowing into Salesforce, SAP, Dynamics, or custom APIs before full rollout.
After the PoC
From proof to production
A successful PoC is the first milestone — not the finish line. Spectrum can carry the work through pilot and scale.
Proof of Concept
Validate the use case on real data with fixed scope and measurable outcomes.
Controlled pilot
Expand to a wider user group with production-grade security, monitoring, and governance.
Full deployment
Enterprise rollout via managed team or fixed-cost programme — integrated into your operations.
Who it's for
Teams that need evidence before committing
Leaders seeking budget approval
You need a working demo and ROI numbers before finance signs off on a larger AI programme.
Teams evaluating build vs. buy
Test whether a custom solution on your stack outperforms off-the-shelf tools for your specific workflow.
IT validating integration feasibility
Prove AI can connect to your CRM, ERP, or data warehouse before a platform-wide rollout.
Innovation teams with a hypothesis
You have a use case in mind but need engineers to build, measure, and recommend next steps quickly.
Questions
Frequently asked questions
Common questions about AI proof of concept engagements.
What is an AI proof of concept?
A fixed-scope 4–8 week engagement that validates a specific AI use case on your data — with agreed success metrics, weekly demos, an executive demo day, and a production roadmap if results are positive.
How long does an AI PoC take?
Most PoCs run 4–8 weeks from kickoff to executive demo, depending on data access, integration complexity, and evaluation requirements.
What does a PoC cost?
PoCs are fixed-cost engagements scoped upfront after a discovery call. We provide a proposal with timeline, deliverables, and success criteria before work begins — no open-ended hourly burn.
What deliverables do we receive?
A working prototype, evaluation report against agreed metrics, executive summary for leadership, production architecture notes, phased rollout plan, and full source code with documentation at handoff.
Can you build on our existing systems?
Yes. PoCs typically integrate with your CRM, ERP, data warehouse, or internal APIs where integration risk needs validation — not just isolated demos.
What happens after a successful PoC?
You receive a production roadmap and cost estimate. Spectrum can continue through controlled pilot and full deployment via managed team or fixed-cost programme — or hand off to your internal team.
Validate with evidence
Ready to prove your AI use case?
Structured 4–8 week PoCs with fixed scope, measurable success criteria, and an executive demo — so you secure budget with evidence, not assumptions.
100% confidential
We sign NDA
Same-day response
Need clarity first?
Book an AI readiness assessment