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Leventec

AI & Automation

Agents that do the work, not just talk about it.

Custom AI agents combine a language model with access to your tools — email, CRM, documents, spreadsheets, APIs — so they can research, decide and act across several steps. We design clear boundaries, approval points and logging so you stay in control.

AI agent run console showing tool calls, permissions and an approval step — concept preview with sample data
Concept preview

Overview

What Custom AI Agents can do for your business

AI agents are the next step beyond chat: software that can pursue a goal by reading information, deciding on next steps and using tools such as your CRM, inbox, spreadsheets and internal APIs. Used well, they take on research, preparation and coordination work that currently consumes hours of skilled time each week.

The difference between a useful agent and a risky one is design. We scope each agent to a clear job, give it only the permissions it needs, add human approval for anything consequential and log every action. We evaluate agents against realistic test cases before launch, and we measure accuracy and time saved afterwards so you know exactly what the agent is worth.

Is this right for you? Common signs:

  • Skilled staff spend time on repetitive research or prep
  • Work spans several tools and copy-paste steps
  • You need decisions logged and reviewable
  • You've outgrown simple rule-based automation

Custom AI Agents

What we deliver

  • Task planning and multi-step tool execution
  • Secure connections to your business systems
  • Human-in-the-loop approval for sensitive actions
  • Knowledge retrieval from your documents
  • Audit logs for every action an agent takes
  • Evaluation and testing against real scenarios

Use cases

Custom AI Agents: use cases

01

Sales operations

Research leads, draft personalised outreach and update the CRM for review.

02

Back-office tasks

Process documents, reconcile records and prepare reports on a schedule.

03

Customer operations

Investigate tickets across systems and propose resolutions to your team.

Process

How we deliver it

  1. 01

    Define the job

    We pick one well-defined workflow and agree what success, failure and escalation look like.

  2. 02

    Connect tools safely

    We expose only the actions the agent needs, using scoped credentials and approval steps.

  3. 03

    Evaluate

    We build a test set of real scenarios and iterate until the agent performs reliably.

  4. 04

    Operate & improve

    We monitor runs, review logs and widen the agent's scope only when the data supports it.

FAQ

Custom AI Agents: questions answered

How are agents different from chatbots?

A chatbot answers questions. An agent can take actions in your tools — within the permissions and approval rules you set.

Can an agent make mistakes?

Yes, so we design approvals for anything consequential, test against realistic scenarios and log every action for review.

Which AI models do you use?

We choose the model per task based on quality, cost and data requirements, and keep the architecture portable.

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Have a project in mind?

Tell us what you want to build. We'll reply with honest next steps — whether that's a quick automation, a SaaS product or a playable prototype.