01
Sales and lead agents
Agents that research new leads, enrich your CRM records, draft tailored replies for your approval and book meetings, so no enquiry sits unanswered.
AI & Development
Agentic AI Development Services
An AI agent is software that works through a task in steps: it reads a request, looks things up in your systems, decides what to do next, takes an action and checks the result. Where a simple automation follows a fixed path, an agent can handle the cases that don't fit the path.
We design and build custom AI agents for real business work, connected to the tools you already use, with clear limits on what they're allowed to do and a person in the loop wherever a mistake would be costly.
What we build
02
Customer support agents
Agents that answer from your own knowledge base, look up orders or accounts, take simple actions and hand over to a person with the full conversation attached.
03
Operations agents
Agents that process documents, reconcile data between systems, prepare reports and chase missing information, every day, without reminders.
04
Marketing agents
Agents that research topics, draft briefs, watch competitors and campaigns, and flag what needs your attention. They work alongside our content and SEO teams.
05
Internal knowledge assistants
Assistants that search across your documents, drives and wikis and answer your team's questions with links to the source.
06
Agents inside your product
AI features built into your own app or platform, connected to your data and APIs, designed to be tested and maintained like the rest of your software.
01
How we build agents you can trust
- Narrow scope first. An agent that does one job well beats one that does ten badly. We start small and widen the scope once it has earned it.
- Clear permissions. Agents get read access before write access, and only to the systems they need.
- Human approval. Anything customer-facing, financial or hard to undo waits for a person to approve it.
- Tested on real cases. We build a set of real examples from your business and check the agent against them before launch and after every change.
- Logged and monitored. Every step an agent takes is recorded, so you can see what it did and why.
- Your data, your rules. We tell you which models and services process your data, and we keep sensitive data out of anything you haven't approved.
02
Agents, automations or neither?
Not every problem needs an agent. If a task follows the same steps every time, a workflow from our AI automation services is usually cheaper and more reliable. If it doesn't need software at all, we'll say that too. We recommend the simplest thing that does the job.
Our process
How an agent project works
- 01
Listen
We learn the job you want done, how it's done today, the tools involved and what a good result looks like.
- 02
Design
We define what the agent can see and do, where people approve its work and how we'll measure whether it's helping.
- 03
Build and test
We build the agent, connect it to your tools and test it against real examples until it's dependable. You try it before anyone else does.
- 04
Launch and watch
We roll it out in stages, monitor its work, and keep improving it as your tools and processes change.
Who agentic AI is for
- Teams with work that needs judgment across several tools, not just one fixed set of steps.
- Businesses that want AI to take actions, not only answer questions.
- Product teams adding AI features or assistants to their own software.
- Companies that tried a chatbot and want something that actually finishes the job.
FAQ
Agentic AI Development FAQs
What is agentic AI?
Agentic AI describes AI systems that can work toward a goal in several steps: planning, using tools such as your CRM or database, taking actions and checking results. A chatbot answers a question; an agent can carry out the task behind the question.
What's the difference between an AI agent and an automation?
An automation follows fixed steps you design in advance. An agent decides its next step based on what it finds, which lets it handle messier, less predictable work. Many good systems use both: automations for the predictable parts and an agent for the rest.
Is it safe to let an AI agent take actions?
It can be, with the right limits. We give agents only the access they need, require human approval for anything risky, log every step and test against real examples before launch.
Which AI models and tools do you use?
We choose models and frameworks to fit the job, your budget and your data rules, and we'll explain the choice before we build. We avoid locking you into one vendor where we can.
How long does it take to build an AI agent?
A focused agent for one job can be ready to pilot in a few weeks. Agents that touch many systems or need deep testing take longer. We'll give you a timeline after the first conversation.
Can you add an agent to our existing product or systems?
Yes. We connect agents to your systems through their APIs and build them so your team can maintain them alongside the rest of your software.
Tell us the job you'd hand to an agent
Describe the task, the tools it touches and what a good result looks like. We'll tell you whether an agent is the right fit and how we'd build it.