AI PoC Development

Turn ideas into working prototypes in weeks - not quarters. We scope a focused experiment, build a production‑realistic PoC, and measure impact with clear KPIs.
Model‑agnostic (gpt5, Grok, Gemini). Built with LangGraph, LangChain, Python, FastAPI. We design PoCs to de‑risk quality, latency, and cost before full rollout.
KPI‑driven
Risk‑managed
Fast to value

Our toolkit

What we validate in a PoC

Pick one or two high‑impact hypotheses. We design lean experiments that reveal feasibility, ROI, and operational fit.

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RAG on your content

Fresh, cited answers from docs, FAQs, SOPs. Evaluate accuracy and freshness policies.

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AI Copilot

Task‑aware copilot for a team or role (e.g., support triage, analyst research, merchandiser).

Agentic workflow

Tool‑using agent with approvals to automate a narrow SOP end‑to‑end.

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NLP classification & extraction

From forms and tickets to contracts. Labeling, quality checks, and confidence.

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Vision / OCR

Document OCR, quality inspection, similarity search for ecommerce and ops.

Eval & monitoring harness

Set up traces, pass@k tests, red teaming, and dashboards to govern quality.

What you get at the end

Working demo

Hosted PoC with sample users & data

Eval report

Quality, latency, cost, and risk findings

Architecture & data plan

Reference design, components, and integrations

Pilot roadmap

90‑day rollout, budget, and success metrics

PoC timeline

1/4

Use cases, success metrics, risks, and data readiness.

Week 0–1 • Define

2/4

Adapters, prompts, retrieval/tooling, and guardrails with evals.

Week 2–3 • Build

3/4

Latency & cost tuning, error handling, tracing, and red‑teaming.

Week 4–5 • Harden

4/4

Stakeholder demo, findings, and pilot roadmap with budget.

Week 6 • Demo + Plan

Success criteria

Quality

Pass@k, groundedness, and task success on eval set.

Latency & Cost

SLOs defined and met under realistic load.

Adoption Readiness

Clear UX, change plan, and owner for ongoing ops.

Risk

Guardrails, PII handling, audit trails, and approvals in place.

Engagement models

Fixed‑scope PoC (2–4 weeks)

Tightly scoped experiment with clear KPIs and budget.

PoC + Pilot (4–8 weeks)

Extend to limited production with SLOs and change rollout.

Enablement add‑on

Playbooks, workshops, and templates for your team.

Frequently Asked Questions

A sandbox dataset, read‑only API keys, and a technical stakeholder for weekly reviews.

Vercel or your VPC. Secrets and PII are handled per policy with least‑privilege access.

We agree on baseline metrics and track uplift, cost per action, and time saved.

We document blockers and alternatives so you can re‑scope or pivot with clarity.

Ready to prove the value?

We’ll scope, build, and measure a focused PoC then hand you a pilot plan with clear next steps.