Service · Applied AI systems

Claude-Powered AI agent development
for your business.

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02Proof

Claude-Powered Impact

We've built Claude-powered agents that qualify leads overnight, generate daily business intelligence, monitor infrastructure in real time, and process customer support tickets automatically. Each agent is custom-designed for your workflows-not a general chatbot repurposed. Four of them are written up in full:

03Use cases

Five agent types, and what each one actually owns.

AgentWhat it ownsWhat a person keeps

Business Intelligence Agents

Pull the numbers out of every system on a schedule, reconcile them, and write the summary someone used to assemble by hand on Monday morning.

What to do about it

Market Research Agents

Track competitors, pricing, and category chatter continuously, then flag only what moved — with the source attached to every claim.

The call on what matters

Operations Monitoring Agents

Watch the queues and thresholds that page a human at 2am, triage what trips, and escalate with context instead of a bare alert.

The fix

Sales Support Agents

Qualify and enrich inbound before a rep opens it, draft the follow-up, and stop at the send button.

The send

Customer Support Assistants

Answer what is answerable from your own docs and ticket history, route the rest, and never invent a policy.

Anything about policy or money
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04Anatomy

What an agent we ship is made of.

  1. 01TriggerWhat starts a run

    A schedule, a webhook, a row landing in a queue, or a person asking. Every agent has exactly one, and it is written down.

  2. 02ToolsWhat it can reach

    The specific calls it may make into your CRM, Slack, ERP, or internal APIs — each one scoped, authenticated, and rate-aware.

  3. 03MemoryWhat it carries between runs

    The context it keeps, how long it keeps it, and what gets discarded — so the four-hundredth run behaves like the first.

  4. 04GuardrailsWhat it may never do

    The refusals encoded before launch: records it cannot touch, thresholds it cannot cross, actions that always need a person.

  5. 05ConfirmWhere a person says yes

    The point the agent stops and hands over. On FlyCRM that line is absolute — no record reaches the database without it.

  6. 06SurfaceWhere your team sees it

    The web or mobile view where the work shows up, with the reasoning attached so a reviewer can audit any decision.

05Why Claude

Why We Build with Claude

Three reasons, each one a failure we would rather not spend the project debugging.

01

Instruction-following that survives a long chain

14 agents across 6 layers

An agent that reads a 50-page report, extracts fields, classifies them, and fires the right workflow fails at whichever step drifts first. Across the fleets on this page — 14 agents in one, 8 in another — the compounding matters more than any single-shot benchmark. Claude held the chain best in the comparisons we ran before committing.

02

A context window that removes the chunking layer

96% ruled out on one pass

Whole documents, full ticket histories, and entire exports go in on one pass. That deletes the chunk-and-stitch code that is the usual source of dropped context — and the usual source of a summary that quietly omits the important paragraph.

03

Predictability we can put in front of a client

0 writes without a confirm

Every agent here writes into someone's production system. Consistent, well-bounded behaviour is what makes a human-confirm gate meaningful and what gets a build through an internal review. It is the reason the FlyCRM figure is 0 and not 'low'.

Frequently Asked Questions.

What is a Claude-powered AI agent?

A Claude-powered AI agent is an autonomous software system that uses Anthropic's Claude model to reason, plan, and execute tasks. Unlike a simple chatbot, a Claude agent can analyse large datasets, make multi-step decisions, connect to external tools and APIs, and take actions across systems-with or without human input in the loop.

Common use cases include: qualifying and prioritising sales leads, generating daily business intelligence reports, summarising and routing customer support tickets, monitoring systems and sending alerts, conducting market research, and analysing financial data. If a task involves reading information, reasoning about it, and taking an action-a Claude agent can likely automate it.

Yes. We build tool integrations as part of the agent architecture. Claude agents can connect to CRMs, databases, Slack, email systems, ERPs, and any platform that exposes an API. We handle the integration design, authentication, and error handling as part of the build.

Claude consistently performs well on tasks requiring careful instruction-following, multi-step reasoning, and document analysis-which are core to most business agent use cases. It also has strong safety characteristics and a large context window, which matters when agents need to process long reports or datasets in a single pass.

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