Your engineering team is absorbing work a system should be doing
ANVHI builds complete AI operating infrastructure for SaaS engineering ops — support deflection, incident triage, QA automation and pipeline response, integrated into the stack you already run. Not tools. Not chatbots. Measurable operational transformation.
The cost isn't the automation you haven't bought. It's the operational drag you're already paying for.
Support load outruns headcount
Tier-1 tickets — API keys, billing, resets — queue behind engineers who should be shipping. Your users are developers; a slow answer reads as an unreliable product.
On-call bleeds your best people
85-94% of pages are noise. Engineers wake at 2am for alerts that resolve themselves, then respond slower to the incident that actually matters.
Patchwork automation compounds the debt
A chatbot here, a Zapier chain there, nothing observable and nobody owning it. Standalone tools don't compound — integrated systems do.
Pipeline dies in the response gap
Trial signups and demo requests age overnight. First-to-respond wins 35-50% of deals regardless of product superiority.
Every quarter this stays unsolved, the headcount you add is spent absorbing work rather than building product. That is the compounding cost of inaction — and it is entirely recoverable.
Quantified outcomes from documented deployments
Named implementations across developer-tools SaaS, infrastructure and enterprise engineering organisations — the benchmarks we architect against.
15 min → 23 sec at AssemblyAI after AI-first support routing
Uber's Genie incident copilot since September 2023
Microsoft Triangle triage, at 97% accuracy
GE Healthcare: 40-hour QA cycle collapsed to 4 hours
Landbase customers, with up to 70% lower CAC
AI-assisted review across 5,000+ onboarded repos
The AI Growth Infrastructure stack
Three engagement tiers, each a complete operating layer rather than a feature. You start where the pain is and expand as the system proves itself.
Support & Pipeline Accelerator
- Tier-1 support triage agent resolving known issues against your help center via RAG
- 24/7 chat and voice concierge that qualifies and books inbound demos
- Automated release-notes and changelog generation from merged PRs
Outcome: 30-40% fewer Tier-1 tickets reaching a human; demo requests answered in seconds, not hours.
Best for: Solopreneur to pre-seed/seed teams under 10, drowning in tickets and after-hours lead loss.
Delivery: Project-based
Engineering Ops Growth Stack
- Everything in Tier 1
- Alert-triage and on-call noise-reduction agent wired into PagerDuty and Slack
- AI SDR layer nurturing every trial signup toward paid conversion
- Onboarding drop-off detection with automated recovery sequences
Outcome: 25-40% reduction in alert noise and MTTR, with materially higher trial-to-paid conversion.
Best for: Seed/Series-A teams of 10-50 where support and on-call load are outpacing hiring.
Delivery: Hybrid — project build plus retainer tuning
Full-Stack AI Engineering Ops Platform
- Everything in Tier 1 and 2
- Custom internal ops hub unifying support, QA, incident and expansion signals
- White-glove integration across CRM, ticketing, monitoring and billing
- Quarterly strategic AI roadmap advisory
Outcome: Maximum quantified impact across deflection, MTTR, conversion and expansion — tracked in one dashboard.
Best for: Series A-B teams of 50-150 scaling engineering ops without scaling headcount.
Delivery: Retainer
From audit to operating system in weeks
Discovery & audit
Map support, QA, on-call and sales workflows. Quantify the friction and rank by recoverable value.
Build & deploy
Core agents built and integrated with your existing tooling, shipped behind reversible rollout gates.
Optimize & train
Team enablement, tuning against live usage data, and ongoing expansion for hybrid and retainer engagements.
Built to pass your security review
Data security by architecture
Least-privilege scoped credentials, no training on your data, encrypted secrets management, and optional fully self-hosted orchestration inside your own cloud boundary.
Integration without disruption
We build around your existing stack — CRM, ticketing, monitoring, CI/CD and billing. Nothing gets ripped out, and every workflow ships behind a reversible rollout.
ROI accountability
Every engagement opens with a baseline audit and closes each phase against agreed metrics: deflection rate, MTTR, response time, conversion. If a system doesn't hit its stated target, we keep working until it does.
Compliance-aware delivery
Audit logging on every agent action, human-in-the-loop gates on sensitive operations, and documented data-flow maps your security reviewer can actually sign off on.
Questions your team will ask
Stop hiring against a problem infrastructure solves
In 30 minutes we'll map where your engineering ops is leaking hours and revenue, quantify what's recoverable, and hand you the implementation blueprint — regardless of whether you engage us.