Flagship offeringDon't have an AI team?
We'll be yours.
Full-service deployment by engineers who have shipped enterprise AI agents.
The engagement journey
From first call to continuous improvement.
Consultscope + success criteria
→
Buildyour team or ours
→
Evaldataset · env · red-team
→
Deployapplied fixes, ship-ready
→
Monitorin your infra
→
Improveeach cycle cheaper
Build is your choice: customer-built with our consultative input, or Reinforce-built end to end.
What's included
- Discovery & solution design (incl. the eval rubric)
- Build: agent architecture, prompts, tools, RAG, integration
- Eval setup: safety · intent · false-refusal · accuracy
- Domain synthetic + human-reviewed data
- Knowledge transfer so your team runs it
What you keep
- Eval / SFT / DPO datasets
- Applied prompt + harness fixes (not just suggestions)
- Safety / red-team report for security stakeholders
- Everything portable: runs in your infra, no lock-in
Free · 2 hrs · virtualFree workshop: Agent Building Best Practices
A 2-hour virtual session for engineers, ML practitioners, and AI builders shipping production agents and chatbots. No NDA, no pitch, no pre-work. Bring your use cases.
Register for the workshopWhat you'll learn
- Lessons across the 6-stage agent journey (Consult → Improve), from real engagements in retail, airline, telecom, law, healthcare, and investment banking.
- The Reinforce failure-mode taxonomy: hallucination, intent drift, tool-use errors, prompt injection, false refusal, context loss, each with a real example.
- Live agent autopsy: walk an anonymized production trace and see a failure unfold step by step.
- Three anonymized customer case studies: what teams got wrong, what they fixed, stage by stage.
What you take away
- Shareable slide deck (no NDA): 6-stage lessons + case studies.
- Failure-mode taxonomy reference (1-page PDF).
- Production-readiness checklist (1-page PDF): the 10-12 items we run before sign-off.
- Best-practices playbook (1-page PDF).
- Recording on request.
Who should attend: engineers, ML / agent engineers, MLOps & platform engineers, technical PMs, and Heads of AI. No qualification gate.
Register at reinforcelabs.ai/workshop or email workshops@reinforcelabs.ai.
Why usWe prove it works in production.
Most shops can build an agent; few can prove it ships with confidence, and keep it that way. We're model-agnostic (Claude, GPT, open-weight) and deploy on Reinforce Cloud or self-hosted in your own environment, with evaluation coverage for the OWASP LLM Top 10.
Reinforce Cloud
Fastest to start. ZDR / DPA data protections.
Self-hosted
Runs in your own environment; only scores & metrics leave. For healthcare, BFSI, insurance.
Reinforce Labs