AI agent development
Custom AI agent development, secured from the first line of code
We design, build and run AI agents that answer calls, reply to leads, resolve support tickets and process documents inside your own systems. A cybersecurity team builds each agent, attack-tests it before launch and measures it against a goal you set in advance.
What you get
- Voice, chat, email and messaging agents
- Connected to your CRM, help desk, calendar and phone system
- A person can take over at any point
- Pilot in 4–6 weeks with clear success criteria
What a custom AI agent does for your business
An AI agent is software that reads a request, decides what to do and completes the task with the tools you give it. A voice agent checks your calendar and books the appointment. A support agent looks up an order and starts a return. A back-office agent reads an invoice, matches it to a purchase order and posts it to your accounting system.
Most companies start with one repetitive task that takes hours every week and has a clear cost. We build the agent for that task first, prove the result in a pilot and extend the agent once the numbers hold up.
Our background shapes how we build. KDS started as a cybersecurity consultancy, so each agent we ship has limited access, logs its actions and hands sensitive requests to a person.
AI agents we build
Every agent works with your data and your systems, and a person stays one step away.
AI voice agents
Answer inbound calls on the first ring, book and reschedule appointments, take messages and transfer callers to your staff with a summary. They cover evenings, weekends and peak hours.
AI chat and messaging agents
Handle questions in website chat, email and messaging apps, with answers drawn from your knowledge base and order data.
AI sales agents
Reply to new leads within a minute, ask your qualification questions, score the lead in your CRM and book a meeting with the right salesperson.
Back-office AI agents
Read invoices, contracts and emails, pull out the data, check it against your systems and send exceptions to a person for approval.
Internal knowledge assistants
Give your team answers from your policies, manuals and past tickets, with a link to the source document for each answer.
Multi-step agent workflows
Chain several agents with approval steps, for example intake, checking, drafting and sign-off, so work moves between people and AI without manual hand-offs.
Security built into every AI agent
Agents talk to your customers and act in your systems, which makes them a target. We design each one so a single mistake or a manipulated message can't cause serious damage.
- Each agent gets the permissions its task needs and nothing more.
- We screen each message for prompt injection: attempts to trick the agent with hidden instructions.
- Payments, large refunds, data exports and deletions wait for a person's approval.
- The agent logs every action, so you can see what it did and why.
- We deploy enterprise AI services that do not train models on your business data, and, where available, we can keep processing in the region you choose.
From audit to launch in four stages
- 01 · 1–2 weeks
Opportunity and risk audit
We interview your team, map the workflows and rank AI opportunities by payback and risk.
You get: Ranked use cases, ROI model, risk map
- 02 · 4–6 weeks
Pilot with clear success criteria
One agent and one workflow, connected to your real systems and measured against the goal we agreed on. Then you decide whether to continue.
You get: Working agent, results report, go/no-go decision
- 03 · 2–4 weeks
Secure launch
We harden, attack-test and monitor the agent and train your staff before it talks to a single customer.
You get: Security report, operating guides, launch
- 04 · Ongoing
Run and improve
We track quality, cost per workflow and new risks, and keep improving the agent. Short contracts, no lock-in.
You get: Monthly performance and cost report
AI agent development FAQ
How much does custom AI agent development cost?
The price depends on how many systems the agent connects to, which channels it uses and your security requirements. We quote each project individually after a free 30-minute assessment. The audit includes an ROI model with build costs and monthly AI usage costs, so you see the payback before you commit.
How long does it take to build an AI agent?
A typical path is a 1–2 week audit, a 4–6 week pilot and 2–4 weeks of security hardening before launch. A simple agent with one integration can go faster.
Which systems can an AI agent connect to?
Any system with an API or another secure integration point: CRMs, help desks, calendars, phone systems, ERPs, accounting software, e-commerce platforms, shared inboxes and document storage. Each connection gets the smallest access that works.
Will customers know they are talking to an AI?
Yes. Our agents say they are AI from the first message, which supports the EU AI Act transparency rules in effect since August 2, 2026, and customers can ask for a person at any time.
What happens when the agent can't answer?
It hands the conversation to your team with a summary and the full history, so the customer doesn't repeat anything. You decide which topics always go to a person.
Can the agent run on our own infrastructure?
Yes, and that's how we work by default. The agent runs in your environment, on your own AI, phone and cloud accounts, so you own the accounts, keys and data. We get only the access the setup needs, and you can remove it when the work is done.
Related services and use cases
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Use case
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Use case
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Use case
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Free 30-minute assessment
Find the one workflow worth automating first.
Tell us how your team works. We'll come back with two or three AI opportunities, the risks to watch and a rough payback estimate. No obligation.
- A senior engineer replies within one business day
- We can sign an NDA before you share details
- No fixed packages, every quote tailored to you