Orbital Agents

AI Agents Build

We ship the workflow. Two weeks from kickoff. Your stack. Your data. Your ownership. We build on the tools you already use — not the ones our vendor pays us to sell.

What we actually ship
Working Agent
Integrations
Monitoring
Test Suite
Documentation
Handover Session

Every build fits one of three shapes.

Most mid-market AI builds are one of these three architectures. We pick the smallest one that solves your problem — then scale up later only if you actually need it. No over-engineering, no academic multi-agent setups to justify a bigger invoice.

Pattern 01

Single Agent

One agent. One job. Tightly scoped. The fastest path from idea to measurable ROI — and where most builds should start.

INPUT AGENT LLM + TOOL OUTPUT
Scope
1 agent, 1 task, 1 output
Best for
Classification, drafting, scoring, deflection
Timeline
1–2 weeks
Complexity
Pattern 02

Multi-Step Workflow

Chained agents with shared state. The most common mid-market build — where most of the real money lives.

SHARED STATE A1 FETCH A2 ENRICH A3 REASON A4 ACT
Scope
3–6 chained agents, shared memory
Best for
Lead-to-deal, onboarding, reporting, content
Timeline
2–4 weeks
Complexity
Pattern 03

Multi-Agent System

A crew of specialised agents coordinating under a lead orchestrator. For complex, cross-functional work — when one workflow isn't enough.

LEAD ORCHESTRATOR S1 RESEARCH S2 WRITE S3 REVIEW S4 DEPLOY
Scope
Orchestrator + 3–6 specialist agents
Best for
Research, content production, ops analysis
Timeline
4–6 weeks
Complexity

Rent the engine. Own the car.

Every build starts with one decision: which layer do you rent, and which layer do you own? This isn't religion — it's economics. Here's the framework we use, the same one that's made on every build we ship.

◆ Rent the engine

Proprietary intelligence

The LLM is the engine. Building your own is economically absurd for a mid-market business. Rent the best intelligence-per-dollar, swap when a better one ships, never be emotionally loyal to a model vendor.

Use proprietary when...

  • You need the best reasoning available — and that model ships every quarter
  • Your volume is low-to-moderate and usage-based pricing still makes sense
  • You're running short experiments or first-pilot builds
  • You want managed infrastructure with zero server overhead

The stack

Claude OpenAI GPT-4 NVIDIA NeMo Gemini Anthropic API
◆ Own the car

Open-source orchestration

The workflow, the logic, the integrations — that's the car. Build it on open-source so your business logic stays portable. When the LLM vendor raises prices or a better model arrives, you swap one node — not rebuild the system.

Use open source when...

  • You want your workflow logic to survive any model provider change
  • Volume is high enough that predictable infrastructure beats variable usage pricing
  • Data sovereignty matters — health, finance, regulated work
  • You want to self-host, inspect, audit, and extend the build yourself

The stack

n8n OpenClaw LangGraph CrewAI Flowise LlamaIndex

Five days. From kickoff to live.

No theatrics. No scrum ceremonies. No ten-week engagements for something that should take ten days. Here's what a typical week on a Single Agent or small Multi-Step build looks like — the same rhythm we run on every engagement.

01
MON

Kickoff

Environment setup, access provisioning, final spec review, success metrics locked.

02
TUE

Core Build

Agent scaffolding, prompts, tool definitions, initial test runs on real data.

03
WED

Integrate

Connect to your CRM, database, Slack, email — whatever the workflow touches.

04
THU

Test & Harden

Edge cases, error handling, rate limits, monitoring hooks, accuracy benchmarks.

05
FRI

Handover

Live walkthrough, documentation, credentials, go-live. Your agent is working before the weekend.

Scoped to the complexity of the build.

Every AI agent build is different. Pricing scales with the architecture pattern, the integrations required, the data environment, and the level of ongoing accuracy the workflow demands. Here's how we think about it.

How we scope investment

The right price is the one that matches the right build.

A Single Agent engagement and a Multi-Agent System sit in very different investment ranges. The variables that move the number are the build pattern, the depth of integration into your existing stack, the volume the workflow will handle, and the compliance environment around your data. We scope every build against these variables individually — which is why we confirm pricing on the call rather than publish a range that won't match your reality.

Investment scales with

  • Multi-agent systems and orchestration layers
  • Deep integrations into legacy or custom tools
  • High-volume workloads requiring optimisation
  • Regulated data environments with compliance overhead
  • Strict SLA or uptime requirements

Investment is tighter when

  • The scope is a single agent with clear boundaries
  • Your stack uses modern APIs (HubSpot, Notion, Slack, etc.)
  • Discovery & Design is already complete
  • Workflow logic is simple and well-understood
  • Source data is clean, documented, and owned by you

After your free call, we'll send a fully scoped proposal within 48 hours — transparent, itemised, and aligned to the pattern that fits your business.

Book a Free Scoping Call

The ones that actually matter.

How much does a typical AI agent build cost?

Every build is scoped individually. Investment scales with the build pattern — a Single Agent sits in a very different range to a Multi-Agent System — and with the integrations, volume, and data environment around it. After your free call, we send a fully scoped proposal within 48 hours, transparent and itemised, aligned to the pattern that fits your business.

Do I own the code and the workflow after you build it?

Yes. You own the workflow, the code, the prompts, and the integrations. We hand over the repository, the documentation, and the credentials at go-live. If you want us to run it afterwards, that's a separate decision handled through our Run & Optimise service — not a hidden lock-in. Your build, your property, from day one.

What happens when the underlying model changes?

That's exactly why we build on an open orchestration layer wherever possible. When OpenAI raises prices, Anthropic ships a better model, or Google releases a new Gemini tier, you swap one node — not rebuild the whole system. This is what rent the engine, own the car means in practice: your workflow logic lives on your infrastructure, and the LLM underneath it is interchangeable.

Can you build on my existing stack or do I have to switch tools?

Your stack, not ours. If you're on HubSpot, we build on HubSpot. If you're on Salesforce, we build on Salesforce. If you're running n8n self-hosted, we extend what you have. Our job is to ship agents that fit the tools you already use — not sell you new ones you didn't ask for. The only time we'll recommend a stack change is if your current tool physically can't do what you need, and even then we'll tell you honestly.

Book a free call

Let's scope your first build.

30 minutes, no pitch, no obligation. Bring the workflow you want built and we'll scope it live on the call — then send a fully scoped proposal within 48 hours.

Book a Free Scoping Call
30 min · Proposal in 48 hours · Scoped to your business