Reliability & Governance

Anyone can generate the code. We make it safe to ship.

In 2026 the bottleneck isn't writing AI features — it's trusting them in production. Boundev installs the reliability layer: evals, observability, cost governance, and the compliance posture your auditors expect. It's the part of AI work your own juniors and your foundation model can't supply.

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01

Why AI breaks after the demo.

Generation is cheap and abundant. Getting that output to survive contact with real users, real data, and a real audit is where teams stall.

01

Silent quality drift

A prompt that worked last week regresses after a model update — and nobody notices until a customer does. Without evals in CI, you're flying blind.

02

Runaway cost

Token spend balloons as usage grows. No caching, no routing, no per-feature budget — just a bill that 5×'d and a finance team asking why.

03

Compliance & IP risk

AI-generated code raises data-governance, IP-ownership, and audit questions that take senior judgment to navigate — especially in finance and healthcare.

04

No accountability

When the AI feature breaks at 2am, a generated PR can't own the incident. Someone senior has to be on the hook for production.

02

The reliability layer we install.

Ship it once, and it keeps working on every release after — the part of the engagement that compounds.

01

Evals & test harness

A reproducible eval suite lands in your repo on day one and runs on every PR — so regressions get caught in CI, not production.

  • Target locked in writing
  • Runs on every PR
  • Your team can run it on demand
02

Observability & tracing

Every LLM call traced and logged through Langfuse, Braintrust, or OpenTelemetry — wired into the stack you already run.

  • Traces you can actually read
  • Latency + token visibility
  • Alerting on anomalies
03

Cost governance

Prompt caching, model routing, and per-feature token budgets so spend tracks value instead of surprising your finance team.

  • Per-feature cost dashboards
  • Caching + routing
  • Provider abstraction
04

Drift & regression monitoring

Nightly checks for model and data drift. When a provider deprecates a model, we test the upgrade in staging before it touches prod.

  • Nightly drift checks
  • Pinned model versions
  • Staged upgrades
03

Compliance & security, by default.

We ship inside your boundary, sign the paperwork, and follow your auditor's evidence requirements.

01SOC 2 workflows — we follow your controls and produce the evidence your auditor asks for.
02HIPAA — BAA on request; engineers work inside your compliance boundary for PHI workloads.
03PCI-DSS — engineers run inside your VPC, behind your VPN, with audit logging on every action.
04DPAs and mutual NDAs signed before we scope a single task. US Delaware C-Corp paper or yours.
05No training on your data. Provider logs scoped to your task and deleted on cancellation.
06Full IP transfer — code, prompts, eval fixtures, and runbooks are yours from the moment the PR opens.
04

Built for regulated, AI-forward teams.

Where AI-generated code creates the most risk — and senior judgment is non-negotiable.

01

Fintech & BFSI

Model risk, auditability, and data governance handled inside your boundary, not bolted on after.

02

Healthcare & health-tech

PHI-safe RAG and agents with BAAs, VPC delivery, and an eval trail your compliance team can sign off on.

03

Legal & govtech

Retrieval and drafting systems with citation integrity, access controls, and a documented eval target.

04

Series A–C SaaS

Production AI features your senior reviewers will actually merge — with the reliability scaffolding to keep them alive.

05

Governance questions.

Yes — for any task that touches LLMs. The eval harness lands in your repo on day one with the target locked in writing. We don't ship LLM code without eval scaffolding.
Yes on Scale and Enterprise. We run the engineer's environment inside your VPC, behind your VPN, with audit logging — the common pattern for HIPAA and PCI-DSS workloads.
We abstract the provider behind a thin interface and pin model versions in code. Drift monitoring runs nightly, and we test any upgrade in staging before it touches your production.
No. Customer data is never used for training. Provider logs are scoped to your task and deleted on cancellation. We've never failed a customer audit on data handling.
A named senior engineer owns the work, and a second Boundev engineer reviews before any PR opens. On Growth+ you get direct Slack access and post-merge support.
Get shipped

Make your AI safe to ship.

Book a free 20-minute scoping call. We'll map your AI features to the reliability and compliance layer they need — before you commit a dollar.

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