Dark mountain ridges with snow, under a clear sky at sunrise
LANZERAI-native enterprise architecture

Governed AI systems, from goal to production.

Clarity on the goal, the bets worth making, and systems that run in your cloud and pass your audits.

Book a working session

Most enterprise AI fails before the first line of code.The goal was never clear, so the bet was never real.

Lanzer is an AI-native enterprise architecture firm. We work with leadership and architecture teams to get clear on goals and vision, translate that clarity into a small number of bets worth making, and then build those bets as software platforms and AI systems that hold up to the scrutiny an enterprise applies: governance, auditability, security, and evidence. For CIOs, CTOs, enterprise architects, and the risk and security teams they answer to.

An engagement starts with a working session with your leadership and architecture teams, then an audit: a written point of view on where technology changes your economics, and what it would take to prove it.

What you get.Five outcomes, each with evidence you can hand to someone.

Your board asks whether the bet is right. Your auditors ask whether it is controlled. Your engineers ask whether it holds. One engagement answers all three, inside your perimeter.

ClarityBuilding the wrong thingSpeedQuarters lost to pilotsQualitySilent degradationControlUnauthorized actionEvidenceAn audit you cannot pass
Five outcomes covered by one engagement: Clarity, Speed, Quality, Control, Evidence.

  1. Clarity

    Goals stated plainly, bets ranked, and the architecture decided before budget is committed.

    You receive. A written point of view and a reference architecture.

    Rests on Audit, architecture.

  2. Speed

    Prototypes on your data in weeks, and an engineering workflow your teams keep after we leave.

    You receive. A working prototype and an AI-native delivery loop.

    Rests on AI-native SDLC, agents.

  3. Quality

    Every release gated by evaluation, every agent observed. Quality is a number you can watch move.

    You receive. Evaluation suites and live dashboards.

    Rests on Evals, observability.

  4. Control

    Agents act only as principals you control, with least privilege and a complete audit trail.

    You receive. Policy sets, access reviews, immutable logs.

    Rests on IAM, security controls, audit trail.

  5. Evidence

    Controls mapped to ISO 27001 and 42001, running in your cloud. Your auditors get artifacts; your data never leaves.

    You receive. An evidence pack and deployment runbooks.

    Rests on ISO evidence, customer-hosted deployment.

The evidence builds with the bet.

Each phase reduces a different uncertainty, produces evidence your teams can inspect, and unlocks an explicit decision.

  1. Audit

    Strategic uncertainty

    A bet worth making.

    A structured review of the goal, constraints, systems, data, and risk appetite.

    Evidence

    • Goals and bets
    • Reference architecture
    • Costed risk plan

    Next decision

    Prototype it.

    Or stop with clarity.

  2. Prototype

    Demand and quality uncertainty

    A bet proven in practice.

    A working prototype on your data, inside your perimeter, tested by real users.

    Evidence

    • Real-user prototype
    • Evaluation baseline
    • Production estimate

    Next decision

    Commit, iterate, or stop.

    You keep the evidence.

  3. MVP

    Production and governance uncertainty

    A governed system in production.

    A production-standard system in your cloud, with controls and operations built in.

    Evidence

    • Running governed system
    • Runbooks and dashboards
    • Audit evidence and handover

    Next decision

    Scale, extend, or transfer.

    The system is yours.

Sand dunes under a starry night sky

Two directions.One discipline.

Outward. Products for your customers

New AI-native products, and AI capabilities inside the ones you already sell. The audit finds the demand your roadmap missed; the prototype proves it with real users before the budget is committed.

Inward. Products for your people

Internal platforms, agents, and workflows your teams actually adopt, built with the same product rigor as anything customer-facing. Demand is proven the same way: by the people who will use it.

We run what we build.

Lanzer operates its own products. The same clarity, prototyping, and governance discipline we bring to an enterprise engagement runs this portfolio every day.

Zen: the Insights dashboard with invoices issued by month, tax status, and the annual RESICO limit
ZenbaseLive

Zenbase

Live

AI-native tax and accounting infrastructure for Mexico. Replacing fragmented, manual tax workflows with structured, automated, and intelligent systems.

Tax / SaaS ยท Mexico

Visit zenbase.mx
Wayfinder: the map view of an account, with a bet open, its outcome, and a pending decision
wayfinderBuilding

Wayfinder

Building

Product discovery and validation tool. Structures, tracks, and validates product bets through a staged discovery process. The method we use, as software.

Product discovery / SaaS

How we work.

  1. Clarity before code.

    We do not build what nobody has decided they need. The audit exists to make the goal, the bet, and the constraints explicit before engineering starts.

  2. Your cloud. Your data. Your models.

    Customer-hosted by default. Agents, logs, and evals run inside your perimeter under your identity and your policies. Model-agnostic: bring your own endpoint or your own weights.

  3. Governance from the first commit.

    Evals, identity, audit trail, and evidence are part of the build, not a phase two. The controls your risk team will ask for are already there.

  4. Engineers who own the outcome.

    A small senior team embedded with yours, from the audit to production. No handoff to a delivery bench.

A snow-lit ridge above a black forest, under a graphite sky

Start with a working session.

Bring the goal you are not sure how to reach. We come with questions, not a deck, and leave you with a written point of view.

Book a working session