Teknoloje is an AI agent development company that designs, builds and runs AI agents for your processes, connected to the systems you already use and deployed on-premises, hybrid or in the cloud.
Custom AI agents are AI systems built for one organisation's own processes, data and software. Unlike an off-the-shelf chatbot, a custom agent follows your business rules, reads your live systems, and completes tasks such as answering a call, booking an appointment or resolving a query from start to finish, handing anything unusual to a person.
Every agent starts from a process that eats your team's time. These are the agent types we build most often.
Resolve enquiries, look up orders, bookings and account status, and handle standard requests around the clock, in your customers' languages.
Answer and place phone calls in natural conversation and book directly into your calendar or practice system, with no hold time.
Voice AI Agents →Contact new leads within minutes, ask the qualifying questions, score the lead and log everything in your CRM before your team picks it up.
Answer staff questions from your own policies, manuals and circulars, with every answer cited to the source document.
Tek-Insight →Run multi-step workflows across several systems, such as intake, checks, updates and notifications, without manual hand-offs.
Agentic Automation →Reconcile transactions across channels, follow up on settlements and answer compliance questions against current rules.
FinTech AI Solutions →Four steps take a process from your whiteboard to a live agent, typically in six to ten weeks.
We map the process as it really runs today: the requests, the systems, the rules and where time is lost. Success measures are agreed up front.
Conversation and decision design, the tools the agent may use, escalation rules and integration points, signed off before build.
Agent build, integration with your systems and testing against real cases, with a working demo at every checkpoint.
We monitor outcomes, tune the agent on real conversations and extend it to new tasks once the first one is proven.
You choose, based on how sensitive the data is. The agent works the same way in all three.
Models, data and application run inside your own infrastructure. Nothing leaves your network. Built for banking, healthcare and government.
Your data and search index stay on your servers; only the question and the passages needed are sent, encrypted, to a cloud model.
Fully managed on AWS, Azure or your preferred cloud: fastest to deploy, with no infrastructure to maintain.
Weighing the options? Read our guide: On-premise LLM vs cloud.
Measured results from live client deployments.
70% of routine queries resolved without a human, deployed on-premises.
Read case study →94% patient satisfaction, connected to the center's EMR.
Read case study →A UK physiotherapy clinic answers 100% of after-hours calls.
Read case study →A solar installer replaced next-day callbacks with an outbound voice agent.
Read case study →Ask any partner, including us, to show evidence for each of these before you sign.
New to the terminology? Read Agentic AI vs generative AI and why agentic AI projects get cancelled.
AI receptionists, patient call handling, appointment booking and reminders for clinics and medical centers.
AI Receptionist for Medical Offices →Knowledge assistants, reconciliation, customer support and compliance agents for banks and payment companies.
FinTech AI Solutions →Speed-to-lead sales agents and customer operations for energy, utility and home-service businesses.
Solar Case Study →A custom AI agent is an AI system built for one organisation's processes, data and software. It follows that organisation's business rules, reads its live systems and completes tasks from start to finish, such as answering a call, booking an appointment or resolving a query, and hands unusual cases to a person.
A chatbot answers questions from a script or a general model. A custom AI agent is connected to your systems, so it can act: check real availability, update a record, process a request. It is also limited to your rules and data, which makes its behaviour predictable and auditable.
Most projects reach production in six to ten weeks from signed contract. A simple voice AI agent can be piloted in under ten days; agents that integrate with several systems sit at the longer end of the range.
Cost depends on the number of tasks the agent handles, the systems it connects to, the volume of conversations and where it is deployed. We agree the scope and a fixed success measure during discovery, before any build starts. Across enterprise clients, the average year-one operational cost reduction is 26%, and up to 30%.
Yes. Agents connect to existing calendars, CRMs, practice management and EMR systems, core banking, ERPs and document stores through their APIs or databases. No data migration is needed; the agent works on top of what you already run.
You decide where the data lives. Agents can run fully on-premises so no data leaves your network, in a hybrid setup, or in the cloud. Access is role-based and every action is logged.
Book a 30-minute call. We will map one process with you and tell you honestly whether an AI agent is the right fit.