Experiment quickly,
deliver what works.
We de-risk AI by turning ideas into measurable pilots. Rapid loops, pragmatic guardrails, and an evaluation harness so you can prove value early.
Every engagement is tailored. Timeframes and investment are finalized together during scoping to match your team’s capacity and risk profile.
- Repeatable prompt + tool patterns
- Modular building blocks for workflows
- Guardrails, evals, and governance guides
Discovery & Ideation
Use cases, feasibility, and ROI framing aligned to your data reality.
Rapid Prototyping
Thin vertical slices with safe patterns and data adapters.
Evaluation Harness
Quality, latency, and cost gates, compare approaches with evidence.
Typical timeline
Usually 2–4 weeks from kickoff to pilot decision (scope-dependent).
Representative work
Examples are illustrative, specific outcomes depend on scope and context.
Marketing Ops Enablement
Reduce manual effort, improve executive visibility, and tighten reporting cadence.
Data Governance for AI Pilots
Access models, prompt safeguards, and evaluation gates for responsible testing.
Field Team Copilot Prototype
Thin-slice assist for faster resolution and knowledge reuse, paired with runbooks.
Focus Areas
We prioritize problems where small, composable wins compound into durable advantages.
Workflow Orchestration
Turn ad-hoc prompting into consistent pipelines with measurable guardrails.
Knowledge + Context
Efficient grounding/retrieval patterns and safe tool use that scale.
Human-in-the-Loop Ops
Approvals, escalation, and QA cycles that keep you fast and safe.
Measurement & Evals
Lightweight metrics, red-team routines, and regression checks.
Reusable Components
Open patterns and private templates—adopt without lock-in.
Operator Playbooks
Clear steps to go from zero → value across common roles.
From hypothesis → product
The stages stay consistent so we can learn quickly without over-promising.
Hypothesis
Define user, risk, and the measurable outcome.
Experiment
Build the smallest thing that can earn conviction.
Pilot
Place it in real workflows with a few partners.
Launch
Graduate into a product or playbook—if it sticks.
What you get
- Pilot mapped to a real workflow and KPI.
- Readout: metrics, risks, next steps, and scale plan.
- Reusable assets: prompts, eval sets, and runbooks.
Typical timeline
Lab Principles
Outcome-first
Ideas are interesting. Outcomes are useful. We optimize for shipped value.
Composable by default
Small building blocks beat monoliths, easier to adopt, easier to change.
Open to partners
We co-develop with teams who want to go fast and learn out loud.
Partner with the Innovation Lab
Advisory engagement + early access to prototypes and patterns.