AI agents
We build AI agents that read your governed data, complete routine work in your CRM, ERP, email and WhatsApp, and ask a person before any action that matters. Every step is logged.
Agent run
Refund request on WhatsApp
Customer asks for a refund on order 4821
Reads the order, payment and delivery record
Checks the refund policy: eligible, SAR 340
Team lead approves the refund
Refund issued, customer told, case closed
The difference is simple: an agent is allowed to act, inside limits you control.
Chatbot
AI agent
Agents by team
Customer service agent
What it handles
Works inside
Where a person approves
A team lead approves refunds above your limit
What the team gets: Routine requests closed without a queue
How it works
Hears the request
Understands it
Does the work
Stays in control
Governed data foundation: clean data with clear permissions and traceable sources, so the agent works on information you trust.
See it for yourself
Our agent answers by voice or chat in Arabic, Khaleeji and English. Ask it about our services, or ask it to connect you with our team.
Built to be approved
We design the action log, overrides and escalation path before the agent itself, so your risk team can review every decision.
Dialects, mixed Arabic and English, and Latin-script Arabic are tested as real inputs, not added later as translation.
Connections to ERP, CRM and core systems get their own permission model. The agent never touches a database directly.
Before go-live the agent is scored on your past cases, so reliability is measured rather than assumed from a demo.
From our work
Client names withheld at their request.
Customer care
Back-office work
Request triage
How we deliver
One process where the value is clear and a wrong step is easy to reverse.
You get: Scoped use case and business case
Actions, limits, approvals and the action log, agreed before we build.
You get: Action map and approval rules
Connected to your systems and tested on real past cases in Arabic and English.
You get: A tested agent and its test set
Live inside the agreed limits. We measure time saved and widen scope as trust grows.
You get: Regular value report
The service at a glance
Skilled staff spend their day on repetitive steps across systems.
Chatbots answer questions but cannot act, so work still moves by copy, paste and email.
We build AI agents that complete tasks inside SAP, Oracle, CRM and email, with human approval where it matters and every action logged.
Who it is for
Work done faster, with fewer errors.
Measurable productivity.
Safe integration with core systems.
Control over every action.
The goal: an AI-ready organisation
Connected, clean, governed and allowed for AI use.
Agreed measures, one definition each, a named owner.
Roles, decision rights and skills to adopt AI safely.
Approach
Choose a process with clear value.
Define actions, limits and approvals.
Connect the agent to systems.
Monitor and measure results.
Engagement options
Find and rank processes.
One process in production.
Scale and run many agents.
Scope
Bilytica frameworks behind this service
Autonomy tiers, tool boundaries and human checkpoints, so agents can act without becoming a liability.
See the frameworkVALUEFrom use-case long list to booked benefit, with unit economics attached at every step.
See the frameworkDELIVERA gated path from idea to live service, with evidence at every step.
See the frameworkAgent platforms
Models
Orchestration
Your systems
A chatbot answers questions. An AI agent completes the task: it reads the data it needs, takes the steps inside your systems within set limits, asks a person to approve important actions and logs everything.
Yes. Agents work in Arabic and English, including Saudi dialects and conversations that mix both languages. We test this on real examples from your own channels.
On your cloud, in a Saudi cloud region, or on your own premises. The agent only reaches the systems and fields you permit, and every action is recorded.
Only the actions you choose. Low-risk, reversible steps can run automatically, while actions that move money, change access or reach customers can require a person to approve first.
Not when it is built properly. RPA follows a fixed path; an agent chooses its next step based on the situation, inside the limits you set. If a fixed path is enough, we will tell you.
We start with one process that has clear value. After a short discovery we agree the scope, the approvals and how success will be measured, then build and test before going live.
We will show you what an agent could take on, where a person stays in control, and what you would need in place first.
