Claws TECH
AI & Automation

AI agents that do real work inside your business

Purpose-built AI agents grounded in your data and connected to your tools, with clear limits and human hand-over where it matters.

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An AI agent is more than a chatbot. It can read a request, look up the relevant information in your systems, take an action such as creating a CRM record or booking an appointment, and report back — all within rules you define. We design agents for specific, measurable jobs: handling routine enquiries, qualifying leads, preparing draft documents, or triaging incoming requests. Each agent is grounded in your approved content, connected only to the systems it needs, and monitored so its answers can be reviewed and improved.

Problems we solve

Repetitive knowledge work

Skilled staff spend hours on tasks that follow predictable patterns.

After-hours gaps

Requests wait overnight or over the weekend for a first response.

Generic chatbots disappoint

Scripted bots frustrate customers with irrelevant answers.

Fear of AI mistakes

Concern that AI will give wrong answers with no oversight.

How we solve it

We define the agent's job, its knowledge sources, the actions it is allowed to take, and the situations where it must hand over to a person. We then build it on a leading language model, connect it to your data through controlled integrations, and pilot it with real conversations before widening its scope.

What’s included

Task-specific design

Each agent is scoped to a clear, measurable job.

Grounded answers

Responses drawn from your approved documents and data.

Tool connections

Controlled access to CRM, calendar, email, and databases.

Human hand-over

Escalation rules for sensitive or uncertain cases.

Conversation logs

Every interaction reviewable for quality and improvement.

What you get

Always-on capacity

Routine work handled around the clock.

Consistent quality

The same accurate answer every time.

Staff freed up

People focus on work that needs judgement.

How the work runs

STEP 1

Define the job

Pick the task, success measure, and boundaries.

STEP 2

Connect knowledge

Load approved content and link required systems.

STEP 3

Pilot & review

Run with real traffic and review conversations.

STEP 4

Scale & monitor

Expand scope and keep monitoring quality.

Technologies we use

Claude API OpenAI API Retrieval-augmented generation Laravel Python Vector search WhatsApp Business Platform

Pricing

Project-based

Custom Quote

Quoted per agent after scoping the task, knowledge sources, and integrations. Model usage costs are billed at provider rates.

  • Task and boundary definition
  • Knowledge base setup
  • System integrations
  • Hand-over and escalation rules
  • Pilot with conversation review
  • Monitoring dashboard
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Frequently Asked Questions

What is the difference between an AI agent and a chatbot?

A traditional chatbot follows fixed scripts. An AI agent understands free-form requests, retrieves relevant information, and can take defined actions in your systems.

How do you stop the agent giving wrong answers?

By grounding it in approved content, limiting its scope, setting hand-over rules when it is uncertain, and reviewing conversations during the pilot.

What does it cost to run?

Running costs depend on usage volume and the model chosen. We estimate this during scoping so there are no surprises.

Industries we build this for

E-commerce Real Estate Healthcare Professional Services

Part of these solutions

Business Automation AI Business Solutions

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Ready to get started?

sales@clawstechnologies.com

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