Workflow intelligence
We map the operational system, isolate high-value decisions, and define the agent boundary before writing code.
- ROI model
- Risk map
- Launch criteria
Production AI agents for critical work
Agents that operate like elite teams.
AI Lab turns high-friction workflows into reliable agentic systems: grounded in your data, connected to your tools, measured by evals, and shipped with human oversight where it matters.
SOC2-ready architecture
Model-agnostic stack
Evals before launch
AI LAB
Invoice triage
423 exceptions resolved today
Support routing
92% answer confidence
Human review
7 tasks escalated with context
Eval suite
98.4% release gate passed
40+agents shipped into live operations
3.2Mmonthly tasks automated across clients
98%target eval pass rate before launch
6 wkaverage path to first production release
Zendesk
Slack
Salesforce
Snowflake
Vercel
Capabilities
Everything required to ship agents people trust.
We do not stop at prototypes. Every build includes workflow design, product-grade UX, integrations, observability, evals, and handoff.
Production agents
Agents that reason over tools, retrieve context, execute actions, and escalate gracefully when confidence drops.
- Tool calling
- Memory and RAG
- Human-in-loop
Eval infrastructure
Test harnesses, release gates, traces, and dashboards that turn agent quality into an engineering discipline.
- Golden datasets
- Regression suites
- Tracing
Enterprise integrations
We connect agents to the systems where work actually happens without forcing teams into another dashboard.
- CRM and support
- Data warehouse
- Internal APIs
Interface design
Operator experiences that make agent behavior legible, controllable, and safe for repeated use.
- Review queues
- Approvals
- Admin controls
Launch and enablement
Your team leaves with ownership: documentation, runbooks, training, and clear paths for iteration.
- Deployment
- Runbooks
- Team handoff
Delivery model
Fast enough for momentum. Rigorous enough for production.
We combine senior product strategy with disciplined agent engineering so the first release is useful, measurable, and safe to expand.
WEEK 01
Workflow audit
Interview operators, inspect data paths, quantify leakage, and pick the highest-leverage workflow.
WEEK 02
Prototype with evals
Build a thin vertical slice, create test data, and prove the agent can clear a measurable quality bar.
WEEK 03-06
Production build
Integrate with your stack, add approvals and fallbacks, instrument traces, and harden the release.
LAUNCH
Operate and improve
Ship with runbooks, monitoring, and a roadmap for expanding from one workflow to an operating layer.
Selected outcomes
Designed around measurable business impact.
Use cases are anonymized, but the operating patterns are real: support, finance, logistics, and internal operations.
Autonomous ticket resolution
Agent triages inbound requests, retrieves customer context, drafts replies, and closes safe cases across Zendesk and Slack.
92%faster first response
Cited financial memo engine
Grounded research agent reads filings, reconciles source data, and produces analyst-ready memos with citations.
40xfaster memo turnaround
Carrier orchestration layer
Agents monitor shipments, predict delays, escalate exceptions, and recommend reroutes across carrier systems.
18%lower delay rate
Engagements
Choose the right level of force.
Start with a focused sprint or bring us in as your agentic systems team. Every path is scoped around business outcomes.
Discovery Sprint
For teams that need a fast answer on where agents can create real ROI.
$12k2 weeks, fixed scope
Book a sprint
- Workflow audit and ROI model
- One working prototype
- Architecture recommendation
- Go or no-go roadmap
Production Build
For teams ready to ship a hardened agent into a high-value workflow.
from $45k4-8 weeks, launch-ready
Start a build
- Production agent and integrations
- Evals, tracing, and release gates
- Operator UX and approvals
- Deployment and 30-day support
Embedded Studio
For leaders building a portfolio of agents across multiple teams.
customquarterly partnership
Discuss roadmap
- Dedicated senior team
- Multi-agent roadmap
- Continuous eval improvement
- Enablement and governance
Senior product, design, and engineering - one accountable studio.
Why AI Lab
Most AI projects fail between demo and deployment.
We build the missing layer: agent behavior that is observable, interfaces that make risk visible, and delivery systems that turn experiments into operating leverage.
Reliability is the productWe define release gates before launch.
Design for operatorsControl, context, and confidence are first-class.
Use your stackNo unnecessary platform lock-in.
Leave you strongerRunbooks, docs, and handoff included.
FAQ
Objections, answered.
How quickly can you ship something useful?
Most projects produce a working vertical slice in the first two weeks and a production release in 4-8 weeks, depending on integrations, data access, and approval requirements.
Do we own the code?
Yes. The code, eval datasets, documentation, and deployment artifacts are handed over. We can continue operating with you, but we do not make dependency the business model.
Which model providers do you use?
We are model-agnostic. We select based on task quality, latency, cost, privacy, and your existing stack, including frontier APIs and open models when appropriate.
What makes an agent safe enough for production?
Clear scope, constrained tools, eval gates, traceability, fallback behavior, and human review for decisions with material risk. Reliability is designed into the workflow, not added at the end.
Start here
Bring us the workflow that should not still be manual.
Send the short version. We will reply with the highest-leverage agent opportunity, likely risks, and the fastest path to validate it.
Brief received. We will reply within 1 business day.