Nitro Rabbit Labs

Intelligent services platforms

A working system, with an ecosystem of AI agents inside it.

We build them from scratch — services, data, workflows, and the agents that work across them. We also turn systems you already run into one, in phases, without a rewrite. It’s for operations-heavy teams that need enterprise capability on a realistic budget, so we scope it to what you can spend: one workflow, one agent, then more when it earns its place. A platform should take cost out of the business and put something back in.

Talk to us See it in RelayRabbit See the economics

What it is

The system comes first. The agents come second.

An intelligent services platform is a real operational system — services that do the work, data that remembers it, workflows people follow, users with roles — and a coordinated set of AI agents working inside it. Not a chat box bolted onto an app.

Each agent has one role, a scoped set of tools, and guardrails it cannot talk its way past. They hand work to each other the way a team does, and everything they do lands in the same record your people already use.

Where a decision carries cost — money leaving, a message going out, a record changing — the work stops and waits for a person. Your team stays in charge of the parts that matter, and can see exactly what happened on the parts that don’t.

You’ll recognise the shape if intake, follow-up, chasing, and reconciling quietly eat your team’s week. Those are the workflows the first agents get — inside your system, against your data, with your people still holding the decisions.

Illustrative concept — not a screenshot.

Two ways in

Start fresh, or start from what you already have

Most teams arrive one of two ways. Both end in the same place; only the first few months look different.

For teams starting fresh

Build a new platform

You know the work cold, but there is no system yet — or the system is a spreadsheet with opinions. We design the platform as a whole from day one, so the agents have something real to work inside.

  • Services layer — the APIs and jobs the business actually runs on.
  • Data model and memory — a schema shaped around the work, plus the context agents need to pick up a thread later.
  • Agent ecosystem — roles, scoped tools, explicit hand-offs, and guardrails on each one.
  • Channels — web, SMS, email, or API, wherever the work already happens.
  • Observability from day one — runs, spend, and errors visible before you need them to be.

Phase one is a working slice you can click through — not a document about one. You keep the source, the schema, and the pipeline.

For teams with a system that works but is tired

Overhaul an existing system

Your system already holds the business, and that is exactly why it is worth keeping. We open it up and grow the agent ecosystem around it, one phase at a time, while it stays in production.

  1. Assess A short discovery with your system and the people who use it. We map the services, the data, and the workflows worth automating first.
  2. Stabilise and expose services Shore up what is fragile and put a clear, scoped API in front of the work so an agent can call it safely. Nothing user-facing changes yet.
  3. Add the first agents One or two agents on one workflow, with scoped tools, guardrails, and a person approving anything that spends money or leaves the building.
  4. Scale the ecosystem Add agents workflow by workflow, with observability and spend caps keeping pace so nothing runs away from you.

No big-bang rewrite. The system keeps running the business the whole time, every phase ships on its own, and any phase can be the last one.

Anatomy

Six Parts of an Intelligent Services Platform

Whichever way you come in, the finished thing has the same six parts. Every one of them is something a client asks for eventually — and each is far cheaper built in from the start than bolted on in a hurry.

Services layer

The work itself: the APIs, jobs, and integrations that move data and make things happen. Agents call these — they don’t reinvent them.

Data and memory

One record of what happened — PostgreSQL for the operational data, plus the context an agent needs to pick up a thread it started last week.

Agent ecosystem

A roster of agents with one role each, scoped tools, and explicit hand-offs. Ours run on our own orchestration engine.

Nitro Fleet Agents

Human-in-the-loop

Any step that spends money, sends a message, or changes a record can stop and wait for a person. Approvals are part of the design, not a patch.

Observability and cost visibility

Traces, timings, and token spend per run. You can see what an agent did overnight, and what that run cost you.

Security and audit

Scoped credentials, least privilege, and a trail that answers “who — or what — changed this?” Encryption has its own product.

Nitro Security Compliance

Compliance

Your auditor asks. The platform answers.

The obligations are yours — GDPR, CCPA, TCPA on outbound messaging, whatever your industry adds on top. We build so the evidence for them falls out of running the platform, rather than out of a scramble at quarter end.

An audit trail by default

Every change is recorded — by a person or by an agent. Who or what, when, from where, and what actually changed. “Who did this?” stops being a question nobody can answer.

Approvals, on the record

Money leaving, customer data moving, a message going out — those wait for a person. Agents propose, someone approves, and the trail keeps both halves: what was suggested, and who said yes.

Data you can account for

Collect the minimum, encrypt it at rest, keep it only as long as you decided to. So when someone asks what you hold on them — or asks you to delete it — the GDPR and CCPA answer is a query, not a fire drill.

Consent before contact

For SMS and email, consent is recorded and checked before anything sends. Quiet hours and opt-outs are enforced by the platform rather than remembered by a person — designed around the TCPA obligations that sit on you.

Least privilege, scoped credentials

Every agent and every service gets exactly the access its job needs and nothing beyond it. Secrets live in a managed vault — never in code, never in a config file, never in a log.

Evidence, not assurances

Logs, approvals, and change history come out as records you can hand over. When an auditor or a customer asks, you show them the trail — nobody has to take our word for anything.

Where the line sits. We don’t certify anything, and your compliance obligations stay yours. What we hand over is a platform where the work of meeting them is ordinary: the record is already there, the controls are already on, and nobody has to reconstruct either one afterwards.

Encryption is its own layer. Key management, hybrid handshakes, and the cryptography underneath live in Nitro Security.

Built for budgets

You don’t need an enterprise budget to start

A platform is a shape, not a price tag. It can start very small and still be built the right way round.

Start with one workflow

Pick the process that hurts most and put one agent on it. One workflow done properly beats a roadmap that hasn’t shipped anything yet.

Phased, fixed-scope releases

Each phase is scoped and agreed up front, then shipped before the next one starts. You can stop after any phase and still have something that works.

Open stack, no lock-in

ASP.NET Core, PostgreSQL, and containers — running on Microsoft Azure or your own cloud. The source, the schema, and the pipeline are yours to take.

The economics

It should save money. It should also make some.

A platform lands in two places on your books — what it stops costing you, and what it starts bringing in. We design for both from phase one.

Where it saves

Cost that comes off the top, most of it in the first phase or two.

  • Repetitive work moves to agents — a person approves what matters instead of re-typing the rest of it.
  • One system instead of a stack — the per-seat subscriptions you bolted together stop earning their keep.
  • Usage-based infrastructure — you pay for what actually runs, not for licences that bill whether you use them or not.
  • Fewer hand-offs — fewer re-keyed records, and fewer mistakes to go back and unpick later.
  • Phased scope — you never pay for a year of work before you have seen any of it.

Where it earns

Upside that opens up once the platform is actually running.

  • Faster follow-up on every lead — in RelayRabbit, agents keep realtor relationships warm so deals don’t quietly go cold.
  • Services you can sell — a platform exposes capabilities you can offer to customers and partners, not just run internally.
  • Data you can act on — every run is recorded, so you can see which workflows pay and push more work through them.
  • Capacity without headcount — take on more volume with the team you already have.
  • Cover outside office hours — work that arrives overnight is picked up before anyone reaches a desk.

How we keep it honest

  • Phase one is scoped and priced up front
  • Runs, tokens, and spend visible in the agent console
  • You keep the source — no exit fee
Price a phase one

A worked example

RelayRabbit is one of ours

RelayRabbit is an intelligent services platform we built and run in-house. Reps capture every realtor they meet in about thirty seconds, and from there an ecosystem of AI agents carries the relationship forward over real SMS conversations. It is the same shape we build for clients: a real system underneath, agents working inside it, people still holding the wheel.

See it on Projects Visit relayrabbit.ai
  • Capture is a service: a new contact in about thirty seconds.
  • Configurable agents nurture the relationship over SMS.
  • Agents step back the moment a human takes over.

Ready to build one?

Tell us the workflow that hurts most. We’ll show you what phase one looks like.

Talk to us