Stories: Where This Shines
Low‑Hanging Projects Finally Shipped
The backlog is full of low‑hanging projects no one had bandwidth for. AI agents + a small Tiger Team make those finally shippable.
Stack: Agent Mode, .NET, Blazor, Azure.Workflow Waste Reduced 40%
AI agents audited existing workflows and flagged repetitive, error‑prone steps. Automations streamlined approvals and cut hand‑offs.
Stack: Local LLM analysis, process mapping, automated scripts.Productivity Boost in Knowledge Work
Teams drafting specs, memos, or support responses saved hours. AI produced 85–90% of drafts; humans polished the final 10%.
Stack: Advanced prompting, evaluation harness, human‑in‑loop.Is This a Fit?
You're a fit if...
You have concrete problems (ops bottlenecks, slow onboarding, support load) and want measurable ROI.
You value fast iterations: thin vertical MVPs in weeks, not quarters.
You prefer practical AI (agents, fine-tunes, RAG) over building a foundation model.
You want low unit cost, privacy-aware, vendor-sane solutions.
This is not a fit if...
You want to train a brand-new foundation model.
You need big-bang, multi-year transformations before shipping anything.
You expect 100% automation with zero human loop—our belief is 85–90% by AI, last mile by design/ops.
Capabilities & Boundaries
Business & Ops Assessment
Process mapping & bottleneck analysis
KPI trees & ROI models
Decision memos leaders can act on
Agent-Assisted Builds
Rapid prototypes & thin slices
Advanced prompting, tasks & Agent Mode
Evaluation harnesses & observability
Models & Integration
SOTA APIs or local LLMs (no FM training)
Fine-tuning & retrieval (RAG) where it helps
.NET + Blazor + Azure integration
Engagement Models
Workshop
Ideal for quick validation and alignment.
1-2 day focused session
Hands-on collaboration
Rapid ideation and assessment
Tiger Sprint
Great for shipping thin slices fast.
2-4 week focused team
Rapid prototyping and delivery
Tight feedback loops
Embedded Team
Best for sustained development and knowledge transfer.
Ongoing embedded engineers
Integrated with your team and processes
Long-term partnership
Forward Deployed Engineer (FDE)
Production features + knowledge transfer without long-term vendor lock-in.
Embedded builder working alongside PM/Ops to ship thin slices fast
Turns constraints into prompts/specs; integrates agents & RAG
Sets up evals, telemetry, cost/latency SLOs; documents runbooks
Mini Demo: Prompt → Plan → Spec → MVP
Structured Prompt
Clear KPI & time box
Actors, constraints, cost
Explicit deliverables
Plan → Spec → MVP
Business value: reduce onboarding time; cut CS cost/account
Features: guided Q&A, policy-aware checklist, rep assist
Specs: flows, edge cases, PII-safe prompts, latency/cost budgets
Implementation: Blazor UI, Azure Functions, eval harness
Privacy Policy | Terms of Service
© 2025 Opt42. All rights reserved.