NeoMonarch.
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Services

One senior team, from strategy to a platform that runs.

We work like a consultancy and ship like a product company. Senior people make the strategy, architecture and security calls; AI virtual engineers build; a regression harness proves every change.

Engineers planning a system on a whiteboard

Product strategy

Frame the outcome, the constraints and what done means, then a roadmap your board can fund.

  • Discovery and framing workshops with your leadership team
  • Roadmap and business case, with build, license or extend options priced
  • Architecture and security decisions made by senior engineers
  • An honest assessment of where AI agents pay off, and where they don’t
Two engineers reviewing code on a large screen

Platform engineering

License a tested platform and launch on your brand, or have our AI engineering team build a custom one.

  • Launch a NeoMonarch platform on your brand, on your cloud or ours
  • Custom builds by AI virtual engineers, directed by a principal engineer
  • Modernise an existing codebase behind a regression harness
  • Integrations with your ERP, payments, identity and data warehouse
A team of engineers working together at their monitors

AI agents & automation

Agents and workflows that run on their own, inside the limits you set, with an audit trail regulators accept.

  • Monarch Bridge orchestrates agents, tools and people from start to finish
  • Choose the autonomy for each workflow: assist, approve, or autonomous within limits
  • Retrieval with citations, generative AI and statistical machine learning working together
  • Agents for document intake, follow-up, reconciliation and reporting
  • Every agent identified, permissioned and logged through Monarch AgentGate
  • Your choice of model, with data kept where you need it
  • People approve consequential decisions; you decide what agents may do alone
  • Evaluation suites and audit evidence that prove the agents work, with Monarch Evals and Monarch Assure
Server hardware with green status lights in a data centre

Run & scale

Operate, monitor and extend after launch, with the harness guarding every release.

  • A secure cloud baseline from day one
  • Monitoring, alerts and service-level objectives tied to what users feel
  • The regression harness on every change, forever
  • A roadmap of improvements, shipped in small, safe releases

Three ways to work with us

Scope a pilot
  1. Pilot

    One scoped outcome in [X] weeks, to prove the approach on your problem.

  2. Build

    A product team on a fixed roadmap: a principal engineer, AI virtual engineers and the harness.

  3. Run

    We operate, monitor and extend the platform after launch.

Have something to build? Let’s talk.

Start a build