Diagnostic audit
1-2 week deep-dive across security, reliability, performance, evals, observability, and cost.
real production software
Your HR, ops, sales, and engineering teams have been vibe-coding impressive demos. Now they need to handle real users, pass security review, and not leak data. We harden, scale, and operate them - or rebuild them right - so the work doesn't fall over the day it matters.
AI coding tools made it easy for any team to ship a prototype - and that's a good thing. But your HR copilot, ops dashboard, sales agent, or internal RAG bot now has to handle real load, real users, real data, and real auditors. That's where the wheels come off.
We're real engineers. We take what your team built, find what's actually wrong, and fix it - security holes, brittle prompts, naive retries, missing evals, no observability, no rollback, no cost guardrails. We harden it, scale it, secure it, and operate it. Or, if it's beyond saving, we rebuild it right and bring your team along for the ride.
We meet the code where it is - inspect, triage, fix, harden, and operate.
1-2 week deep-dive across security, reliability, performance, evals, observability, and cost.
Auth, secrets, PII, prompt injection, output policy, audit logs - by-the-book, not by-the-vibe.
Persistence done right - migrations, backups, idempotency, multi-tenant isolation.
Golden sets, regression suites, and live-traffic shadowing - so you know when it actually works.
Tracing, metrics, cost telemetry, and dashboards integrated with your APM stack.
Container, cloud, queue, autoscale - production architecture for production traffic.
Profiling, caching, batching, model selection, prompt compression - real numbers, not vibes.
On-call under SLOs, or a clean knowledge transfer to your team. Your call.
A fixed-scope rescue that ends with a system you can stand behind.
Honest audit across security, reliability, performance, evals, and cost. Written report and risk-flagged punch list.
Fix the things that matter. Add evals. Add observability. Add the rollback. Test the failure modes.
Deploy under SLOs in your environment with real auth, real audit, real telemetry.
We stay on under managed operations, or we transition cleanly with knowledge transfer.
Everything decision-makers and engineers ask before kicking off.
No - we'll tell you what's working, what's risky, and what to fix first. Most internal AI tools we audit are genuinely useful - they just need the production layer that nobody had time to add. We bring that layer.
Whatever's right. The default is to keep what works and harden the rest - it preserves the team's effort and the institutional knowledge baked in. We only rebuild if the architecture genuinely can't survive what's being asked of it.
Yes - and that's the point. Your team built the thing because they understood the workflow better than anyone. We pair with them so the rescue compounds into real production AI muscle.
Most rescues end with a successful review (we've yet to fail one). We bring threat modeling, SAST/DAST, prompt-injection defense, PII redaction, audit logs, and a security paper trail your CISO will accept.
A diagnostic audit runs USD 15-30K and 1-2 weeks. A full rescue (audit + harden + productionize) typically runs USD 80-200K and 6-10 weeks depending on system size. We give you a fixed price after the audit.
We can - on-call, SLOs, evals, model upgrades, new features. Or we hand off cleanly with a knowledge transfer. Many customers start with managed ops and transition once their team is ready.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
An honest view of what your team has already vibe-coded and what it needs to survive production.
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
Reserve a 60-minute working session with a senior AI engineer and practice lead.
Send us a screenshot and a sentence. We'll come back with a triage call and a written audit plan.