AI Integration & Development

Practical AI that saves real hours.

Practical AI: chatbots, automations and workflow tools that remove busywork instead of adding a gimmick.

Quick answer

eLeopards builds practical AI tools such as support chatbots, workflow automations, document assistants and agents that connect to your software. We start with the manual task costing the most time, build the smallest tool that fixes it, limit what it can access, and show what it costs to run and what it saves.

Who this is for

  • Teams drowning in repetitive admin, copying data between tools or answering the same questions.
  • Businesses that want a support or booking assistant on their site.
  • Companies exploring agents and MCP connections but unsure where to start safely.
  • Owners who want to use AI without sending sensitive data where it should not go.

What you get

Task audit

A ranked list of tasks worth automating, with an estimate of time saved against effort and running cost.

Chatbots and assistants

Assistants grounded in your own documents, with clear limits and a path to a human.

Workflow automation

Automations that move data between your tools, with checks and error alerts.

Agents and tool connections

Agents that act in your systems through controlled connections, with read-only access first and approval for anything irreversible.

Evaluation

A set of real test questions so quality is measured before and after launch.

Monitoring and tuning

Logs, review of failures and regular improvement after go-live.

How a project runs

  1. 1

    Audit

    We map your processes and pick one high-value, low-risk starting point.

  2. 2

    Prototype

    We build a small version and test it on your real examples.

  3. 3

    Harden

    We add permissions, approvals, logging and fallbacks.

  4. 4

    Launch

    We roll out to a small group first and gather feedback.

  5. 5

    Improve

    We review results monthly and extend only what works.

Tools we commonly use

  • Large language model APIs
  • Retrieval over your documents
  • MCP connections
  • Workflow automation platforms
  • Python
  • TypeScript

Pricing

We do not publish fixed prices, because every project is different. Each one is scoped and quoted individually, and the quote is open to negotiation. Tell us your goal and budget range and we will suggest what to build first. What shapes the price:

  • Type of tool: a chatbot, an automation, an agent or an internal assistant.
  • Number of systems it connects to, and the effort to connect them safely.
  • Volume of use, which affects running costs such as model usage.
  • Evaluation and security work, including testing on your real examples.
  • Ongoing monitoring and tuning after launch.

Timeline

How long a project takes depends on how deep it goes. After scoping, you receive a written schedule with milestones. What affects the timeline:

  • Depth of the workflow: a single automation is quick, a multi-step agent takes longer.
  • Quality and access to your documents and data.
  • Approvals needed for connecting to your systems.
  • How many rounds of testing against real cases are needed before go-live.

Example use case

A support team was answering the same questions daily. We built a chatbot trained on their docs that now resolves most of them without a human.

FAQ

AI Integration & Development: common questions

Short, direct answers before you get in touch.

Other services

The trail ends here. What are we building together?