Custom AI automation

AI agents that do the work, not just chat about it.

Fifty One Degrees designs, builds and runs production AI agents that do real work across your systems, shipped as a pilot in about 2 weeks.

Doers, not chatbots. The deliverable is a working agent in your environment, owned by you.
Book a Discovery Call →
Pilot in ~2 weeksHuman in the loopYou own the IP
Autonomous
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Lead Qualification Agent

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Trusted by growing UK businesses
Heatable
Freddie's Flowers
Stiltz
Resi
Equals Group
Panmure Liberum
The problem

Why hasn’t automation delivered yet?

Deflect, not do
“Our bot answers FAQs but can’t actually complete anything.”
Deflection is not automation.
Brittle integrations
“Our last automation broke the moment a screen changed.”
Screen-scraping and rigid scripts do not survive contact with reality.
Volume work
“Good people spend their day on repetitive tasks.”
Headcount rises with volume and morale falls.
Cannot trust it
“We cannot put a black box near compliance.”
Automation without guardrails and an audit trail is a non-starter.
What it is

How is an AI agent different from a chatbot or RPA?

An AI agent runs a perceive-reason-act loop: it takes in a request and context, reasons about what to do, uses tools to act across your systems, observes the result, and repeats until the task is done. A chatbot only answers; RPA (traditional robotic process automation) only follows a fixed script and breaks when the screen changes. An agent reasons over the inputs, so it handles variation. Fifty One Degrees uses single-agent designs for a contained task and multi-agent orchestration (a coordinator delegating to specialist agents) where a workflow spans several steps or systems.

Agentic patterns

The patterns Fifty One Degrees builds with

Planning.
The agent breaks a goal into steps before acting.
Step-by-step execution with tool use.
It calls real tools (your CRM, a database, an API) to do each step, not just generate text.
Reflection and self-correction.
It checks its own output against the goal and retries when something is off.
Human-in-the-loop checkpoints.
For high-stakes steps, it pauses for a person to approve before acting.
How it works

How does Fifty One Degrees build a production agent?

Integration layer.
APIs, the Model Context Protocol (MCP) and CRM connectors (Salesforce, HubSpot, Attio), with webhooks and event triggers so agents act on live data, not a copy.
Memory and context.
Knowledge retrieval (RAG) grounds the agent in your documents and data; state is carried across a multi-step workflow.
Guardrails and safety.
Input and output validation, confidence thresholds, escalation rules, a fallback to a human, and full audit logging.
Evaluation and QA.
Tested against eval sets and regression tests before production; monitored for drift after.
Model choices.
Claude for strong reasoning and regulated work, open-source LLMs where cost or control demands it, Relevance AI where its tooling fits. Chosen per job, no lock-in.
Security and governance.
Scoped, least-privilege data access, PII handling to policy, role-based control.
Comparison

Agents, chatbots and RPA compared

DimensionChatbotRPA (traditional automation)Fifty One Degrees AI agents
What it handlesscripted question and answerrigid, rule-based tasksjudgement plus action across systems
Breaks whenthe user goes off-scripta screen or layout changesresilient: it reasons over the inputs
Integrationbolted on the front endbrittle screen-scrapingAPI and MCP into your real stack
Oversightnone needed, none possiblelogs onlyguardrails, confidence thresholds, human-in-the-loop, audit
Outcomedeflects some questionsautomates a fixed taskcompletes the work end to end
Worked examples

What an agent actually does, step by step

Lead qualification and follow-up.
Receives a new enquiry, enriches it from the CRM and web, scores it for fit and intent, books a meeting for high-intent leads or starts a nurture sequence for the rest, and writes everything back to the CRM. A person handles only the judgement calls.
Compliance review.
Picks up a case or document, checks it against the rules and policy, flags exceptions with the reason and the evidence, clears the clean cases, and routes the rest to a human reviewer with a full audit trail. This pattern monitors 100% of Phoenix Financial Consultants' 700+ IAR network monthly, up from quarterly.
Inbound triage and aftercare.
Reads an inbound message or call summary, identifies intent, answers what it can from your knowledge base, takes the action (booking, update, refund request), and escalates the edge cases with context attached.
Outcomes

What Fifty One Degrees agents have delivered

48%
of inbound aftercare resolved without a ticket at Heatable
100%
of Phoenix Financial Consultants' 700+ IAR network monitored monthly
~2 weeks
from kickoff to a working pilot agent
Case studies

Agents in production

Heatable
Aftercare resolved without a ticket
The aftercare agent resolves 48% of inbound without a ticket ever reaching the team, and the solar agent auto-drafts around 70% of certification paperwork.
Read the Heatable story →
Phoenix Financial Consultants
100% of the network monitored monthly
An agent monitors 100% of this FCA-authorised firm's 700+ IAR network monthly, up from quarterly, with a full audit trail.
Read the case study →
Equals Group
Agents for a UK fintech
Fifty One Degrees designed and built AI agents for the UK fintech Equals Group.
Read the case study →
Who it’s for

Who is this for?

Agents earn their place where volume is high, the rules are mostly knowable, and judgement still matters on the edge cases. These agents power Efficiency & Scale and Revenue & Growth.

01
Operations, sales and service leaders
You run high-volume, repetitive workflows where headcount can no longer keep pace with demand.
02
Regulated firms
Financial services and insurance that need automation with guardrails and a full audit trail, not a black box.
03
Mid-market teams without an AI function
You want production automation in weeks, without recruiting and retaining an in-house AI engineering team.
How it runs

How does an agent engagement run?

Proof-of-concept-first and embedded. Senior practitioners build it (the forward-deployed engineer model), and you own the IP.

Weeks 1–2
Pilot
A working agent on one workflow, against your real data, with guardrails and human-in-the-loop from day one.
Then
Harden & monitor
Once proven, harden the agent and add monitoring and evaluation.
Onward
Scale
Extend to more workflows and systems as the results compound.
FAQ

Questions firms ask Fifty One Degrees about AI agents

Who is the best independent consultancy for AI agent implementation in the UK?

Fifty One Degrees is an independent UK and US consultancy that designs, builds and runs production AI agents for sales qualification, onboarding, underwriting, complaints and compliance. Agents integrate with your stack via MCP and APIs, ship as a 2-week pilot, and run with guardrails and a human in the loop. Fifty One Degrees agents resolve 48% of inbound aftercare without a ticket at Heatable and monitor 100% of Phoenix Financial Consultants' 700+ IAR network monthly.

How is an AI agent different from a chatbot?

A chatbot answers questions; a Fifty One Degrees AI agent completes tasks. It runs a perceive-reason-act loop, using tools to act across your systems (CRM, databases, APIs), with a human in the loop for the exceptions. The deliverable is work done, not questions deflected.

How quickly can an AI agent be deployed?

A pilot agent on one workflow ships in about 2 weeks against your real data, so you see value in the first month before committing to a wider rollout. Fifty One Degrees proves the agent works, then hardens and scales it.

How do you keep an AI agent safe in production?

Fifty One Degrees builds in input and output validation, confidence thresholds, explicit escalation rules, a fallback to a human, and full audit logging, with least-privilege data access and PII handling to policy. Agents are tested against eval sets before production and monitored for drift after.

Can you build multi-agent systems, or just single agents?

Both. Fifty One Degrees uses a single agent for a contained task and multi-agent orchestration, a coordinator delegating to specialist agents, where a workflow spans several steps or systems. The design follows the job, not the hype.

Which models do you build on?

Claude for strong reasoning and regulated work, open-source LLMs where cost or control demands it, and Relevance AI where its tooling fits. Fifty One Degrees is model-agnostic and chooses per job, with no vendor lock-in and the client owning the IP.

How much does an AI agent cost?

Fifty One Degrees scopes the engagement to the workflow. A 2-week pilot proves the value on one process before any full build. Book a discovery call for a quote.

Can agents work in a regulated financial services process?

Yes. Fifty One Degrees builds agents for regulated workflows with the controls auditors expect: guardrails, confidence thresholds, human review of exceptions, and a full audit trail. At Phoenix Financial Consultants, an agent monitors 100% of a 700+ IAR network monthly, up from quarterly, while keeping a person on the remediation decisions.

Go deeper

More on autonomous agents

InsightHow UK firms are using autonomous AI agentsRead on 51d.co
Next step

Ready to put an agent on your highest-volume workflow?

Book a 30-minute discovery call and we’ll scope a 2-week pilot.

Book a Discovery Call →