Knowledge is hard to find
Staff spend time searching policies, procedures, product details, project records, and previous answers across scattered repositories.
Applied artificial intelligence
AI designed around your operation
Deploy useful AI agents with clear knowledge, controls, and human oversight
We design company-specific assistants and agents for knowledge retrieval, support, research, reporting, and workflow tasks—integrated with the systems and approvals your operation requires.
A reliable company AI agent needs a defined job, governed information, permission boundaries, evaluation, monitoring, and a clear route to a person when judgement is required.
01 / Overview
Move beyond generic chat to a controlled operational capability
General AI tools can be useful, but they do not automatically understand company policy, live business context, required approvals, or the consequences of an incorrect action. A customised agent must be designed as part of an operating process, not added as an isolated chatbot.
Fekitech identifies suitable use cases, prepares the knowledge and integrations, defines instructions and permission boundaries, builds evaluation scenarios, and designs human review. We also plan logging, monitoring, change control, security, and support before the agent handles important work.
We keep responsibility visible. The agent supports approved tasks, while named people remain accountable for sensitive decisions, exceptions, and changes to its operating scope.
The situations we address
Problems this service is designed to solve
These are operational patterns we investigate with your team. The exact causes and priorities are established from evidence, not assumed in advance.
Repetitive service queries
Support teams repeatedly answer well-defined questions but still need a safe route for unusual, sensitive, or high-impact cases.
Uncontrolled AI use
Employees use general tools without consistent information, privacy rules, prompt guidance, quality checks, or an approved operating boundary.
Manual information synthesis
Research, status summaries, report drafts, and document review consume time even when source material and required format are known.
What Fekitech delivers
A working system, not a generic recommendation
The final scope is tailored after discovery. Typical outputs for this service include the following connected components.
Agent use-case design
Defined users, jobs, inputs, tools, boundaries, risks, approvals, outputs, fallback routes, and measures of usefulness.
Knowledge and integration layer
Prepared company content, retrieval logic, connected systems, permissions, source references, and update responsibilities.
Agent experience
Instructions, conversation or task flow, structured outputs, approval checkpoints, escalation, and a suitable user interface.
Evaluation and operations
Test scenarios, acceptance criteria, monitoring, logs, feedback, incident handling, change control, and ongoing review.
How the service works
A clear route from discovery to useful implementation
The sequence changes with the service and scope, but every phase produces a decision, an output, or evidence needed for the next.
- 01
Use-case and risk discovery
Select a valuable, bounded job and assess users, data, systems, decisions, privacy, failure impact, and human responsibility.
- 02
Knowledge preparation
Identify trusted sources, improve structure and access, define permissions, and establish content ownership and update rules.
- 03
Agent and control design
Design instructions, tools, retrieval, outputs, approval points, escalation, logs, and security boundaries.
- 04
Build and evaluate
Develop the agent, test routine and adversarial scenarios, review output quality, and correct failure patterns before release.
- 05
Launch and monitor
Introduce the agent to a controlled user group, monitor behaviour and usage, collect feedback, and expand scope only when justified.
Key capabilities
The practical building blocks behind company customised ai agents
Capabilities are selected and combined around your current state, operating risk, priorities, team capacity, and the change the organisation can sustain.
- 01Internal knowledge assistants
- 02Customer support agents
- 03Research and synthesis agents
- 04Reporting agents
- 05Workflow and tool agents
- 06Human approval and monitoring
Suitable use cases
Where this work can be especially useful
These examples describe situations rather than invented client stories. We confirm suitability through a short initial conversation.
Internal knowledge support
Employees need sourced answers from approved policies, procedures, technical documents, service information, or project knowledge.
Customer assistance
A defined set of customer questions can be answered consistently, with authentication, escalation, and human support where appropriate.
Operational task support
Staff need help collecting information, drafting structured outputs, updating systems, or coordinating repeatable workflows under approval.
Business outcomes
What a stronger operating position can look like
The expected direction is agreed during scoping. We do not use fabricated percentages, guarantees, or unverified return claims.
- Faster access to approved company knowledge with source visibility
- More consistent handling of suitable repetitive questions and tasks
- Clearer human control over AI-assisted decisions and actions
- A monitored foundation for expanding AI use responsibly
Why Fekitech
Structured thinking, practical implementation, and long-term usefulness
We connect strategy to the operating detail needed for a change to work: ownership, workflow, information, controls, adoption, measurement, and continued improvement.
- 01
We start with a bounded operational job and its risk, not with the technology demonstration.
- 02
Knowledge, permissions, integrations, user experience, evaluation, and operating ownership are designed together.
- 03
Human approval and escalation are explicit wherever consequences or uncertainty require judgement.
- 04
The agent is monitored after launch, with evidence used to improve or constrain its scope.
Frequently asked questions
Useful answers before we discuss your scope
Still deciding whether this service fits? Book a free call and we will help you identify the right next step without forcing a predetermined solution.
Ask Fekitech about this serviceIts job, instructions, approved knowledge, system connections, permissions, output formats, controls, escalation routes, and evaluation cases are designed around your operation rather than a general public conversation.
Yes, where access is authorised and appropriate. We identify trusted sources, permissions, confidentiality needs, update ownership, and retrieval methods so the agent can reference approved information.
Not by default. We define which actions can be automated, which require confirmation, and which must always be handled by a responsible person. Higher-impact decisions need stronger control.
We create representative and difficult scenarios, define acceptance criteria, inspect sources and outputs, test permissions and escalation, monitor real usage, and maintain a process for correcting failures.
Potentially, subject to the systems’ APIs, permissions, security, data quality, and the risk of each action. Integrations are scoped with least-privilege access and appropriate confirmation and logging.
Yes. Ongoing support can include usage and failure review, knowledge updates, prompt and workflow changes, evaluation regression checks, access review, and controlled capability expansion.
Frequently asked questions about Company Customised AI Agents
Start with clarity
Let’s identify the system your next stage of progress requires
Tell us what is slowing the business down, what you need to improve, and what has already been tried. We will use the first conversation to clarify the most useful next step.
Book a Free Business Audit