AI agents · Automation · Security
We design, build and run AI agents for customer support, sales, front desk and back-office work. A cybersecurity team builds every agent, attack-tests it before launch and measures it against goals you set in advance.
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Call length
1m 38s
Staff time
0 min
Outcome
Booked
Scripted demo, not a live agent · no data leaves your browser
The problem
The technology works. Projects stall because they never connect to real systems, the data is messy, the value is unclear, or nobody owns the security risk.
We pick the workflow with the clearest payback and agree on how to measure success before we write any code.
Agents work inside your CRM, help desk, ERP, phone system and inboxes, not in a demo environment.
The team that runs our security audits limits what each agent can access, adds safeguards and attack-tests it before launch.
We monitor quality and AI usage costs for each workflow and keep making the agent better.
What we do
Start with one agent or a full program. We scope every project to your processes, your systems and the level of risk you accept.
Build
Agents that answer calls, qualify leads, resolve tickets and process documents by voice, chat, email and messaging. A person is always one step away.
Integrate
We map your processes, find where AI saves the most time and money, and connect it to the systems you already use.
Protect
Testing and controls for AI agents, chatbots and the AI tools your staff already use without approval.
Advise
Senior security advice for the rest of your business, from assessments to incident response planning.
Use cases
We start where the work is repetitive, easy to measure and tied to revenue or cost, so you see the value in weeks, not months.
Front desk · Clinics · service businesses · real estate
A voice agent picks up on the first ring, books and reschedules appointments, answers routine questions and passes anything sensitive to your team with a summary.
Customer support · E-commerce · SaaS · subscriptions
A support agent checks your help center and order systems, solves common requests on its own and passes unusual cases to your team with the full history.
Sales · B2B services · SaaS · agencies
A qualification agent replies instantly, asks the questions your sales team would, scores the lead in your CRM and books the meeting.
Back office · Finance · operations · professional services
Agents read invoices, contracts and emails, match them against your systems and send exceptions to a person for approval.
Logistics · Trucking · freight brokerage · 3PL
Agents call drivers and carriers for status updates, update your TMS, follow up on missing paperwork and alert dispatchers only when something is wrong.
Your workflow
Most teams have one repetitive process that takes hours every week. Tell us about yours, and we'll tell you whether an agent can take it over and what it would save.
Security-first AI
Prompt injection (tricking an AI with hidden instructions) may never be fully mitigated, says the UK's National Cyber Security Centre. So we design agents to limit the damage when it happens. That's the difference between an AI agency and a security firm that builds AI.
Request path · every agent action
Selling internationally? We map agents to the rules that apply.
EU AI Act
Transparency rules since Aug 2, 2026 · high-risk rules from Dec 2, 2027 and Aug 2, 2028
ISO/IEC 42001
Readiness for AI management system certification
NIST AI RMF
Voluntary framework for managing AI risk
Cyber Resilience Act
Reporting of exploited vulnerabilities since Sep 11, 2026
GDPR / UK GDPR
Data minimization, processing agreements, transfer safeguards
Korea AI Basic Act
AI notices and output labels for users in South Korea
How we work
The pilot shows measurable results in 4–6 weeks. Every project runs in stages, we measure each one, and you can stop after any of them.
1–2 weeks
We interview your team, map the workflows and rank AI opportunities by payback and risk.
You getRanked use cases, ROI model, risk map
4–6 weeks
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 getWorking agent, results report, go/no-go decision
2–4 weeks
We harden, attack-test and monitor the agent and train your staff before it talks to a single customer.
You getSecurity report, operating guides, launch
Ongoing
We track quality, cost per workflow and new risks, and keep improving the agent. Short contracts, no lock-in.
You getMonthly performance and cost report
Savings calculator
A quick, conservative estimate. In the free assessment, we replace it with a detailed model that includes build and AI usage costs.
Hours saved per year
Hours saved per year: 1,472
Value of time saved per year
Value of time saved per year: $58,880
Equal to full-time staff
Equal to full-time staff: 0.8
Who we are
KDS started as a cybersecurity consultancy. We spent years testing systems other people built, so when our clients started deploying AI agents, we spotted the same mistakes early: agents with admin access, passwords in prompts, no audit trail and nobody accountable.
Today we build the agents ourselves, with the discipline you'd expect from a system that talks to your customers and handles your money.
Guides and articles
FAQ
Clear answers about data, accuracy, cost, timelines and regulation.
Not with the AI services we deploy. We use enterprise AI services whose terms exclude your inputs and outputs from model training, and we don't fine-tune shared models on your data. Where available, we can also keep processing in the region you choose, and we sign a data processing agreement (DPA) on request.
Every agent works from your own data, is tested before launch and is monitored after it. Actions with financial, legal or similar impact need a person's approval, and customers can reach a person at any time.
Usually 1–2 weeks for the audit, 4–6 weeks for the pilot and 2–4 weeks of security hardening before launch. Simple agents can move faster; complex integrations take longer. At the end of the pilot, you decide whether to go ahead.
There are no fixed packages. We scope and quote each project individually after a free assessment call. The audit includes an ROI model with build costs and ongoing AI usage costs, so you see the payback before you commit to a build.
Yes. Integration is where most AI projects fail, so it's where we spend the most effort. We connect agents to CRMs, help desks, ERPs, phone systems, calendars and inboxes through their official APIs, giving each agent only the access it needs.
Both. We attack-test existing chatbots, agents and AI apps for prompt injection, data leaks and tool misuse (this is called red-teaming), review the plug-ins and integrations they rely on, and help you bring unapproved AI use under control.
Our agents are designed to support applicable AI transparency requirements, including Article 50 of the EU AI Act, in effect since August 2, 2026: they tell users they are AI from the first message. We map each system to the rules and standards that apply to you, such as GDPR, the Cyber Resilience Act, South Korea's AI Basic Act and ISO/IEC 42001.
We work with clients worldwide, including the United States. The only exceptions are countries and regions under U.S. sanctions, where the law doesn't allow us to work. We work remotely across time zones and design for the regulations of the markets you operate in.
Free 30-minute assessment
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.