01 — The problem
Why this usually goes wrong.
Teams spend hours on repetitive judgement work: reading documents, sorting tickets, answering the same internal questions.
Generic AI tools aren’t connected to your systems and can’t be measured on accuracy.
Scope
What the engagement covers
Document processing
Invoices, purchase orders, passports, contracts and delivery notes read, validated against rules and posted into your ERP or CRM, with low-confidence fields sent for human review.
Support triage
Incoming tickets and emails classified, prioritised, routed and given a drafted first reply, inside Zoho Desk, Freshdesk, Service Cloud or your inbox.
Internal knowledge assistants
Staff ask questions in Teams, Slack or a portal and get answers from your policies, SOPs and product documentation, with a citation to the source document.
Data extraction
Structured data pulled from emails, PDFs and websites into a database or spreadsheet on a schedule, with validation and deduplication.
Permissions & audit
Agents only see what the user asking is allowed to see. Every action is logged with inputs and outputs.
Method
How we deliver it
01
Define
One task, its inputs and outputs, and how accuracy will be measured.
02
Prototype
Run on a sample of your real documents or tickets; report accuracy.
03
Integrate
Connect to your systems with review queues for low-confidence results.
04
Operate
Monitoring, error review and prompt or model updates.
Straight answer
When an agent is the wrong answer
If the task follows fixed rules every time, ordinary automation is cheaper, faster and more predictable. We’ll recommend that instead.
AI accuracy is never 100%. Every agent we build has a human review path for uncertain results, and we report the accuracy we measured on your data before go-live.
Where data must stay in a region or must not reach third-party model providers, we design around it with the right hosting and providers. That affects cost, and we say so up front.
04 — Typical effort
What it usually takes.
Ranges from comparable projects. You get a fixed-scope quote after a 30-minute call.
05 — What you own
Yours at handover.
- Agent code and prompts
- Accuracy report
- Review queue
- Monitoring dashboards
FAQ
Questions we get about AI agents
Is our data used to train AI models?
We use providers and settings where your data isn’t used for training, and we document which providers process which data. Region-specific hosting is available where required.
How accurate will it be?
We measure accuracy on a sample of your real data during the prototype and share the result before you commit to the full build. Low-confidence results are routed to a person.
Can it work with Arabic documents?
Yes, for most printed Arabic documents. Handwritten and low-quality scans need testing on your samples first.
What does an agent cost to run?
Running costs depend on volume and the model used. We estimate cost per document or per conversation during the prototype so the business case is clear.
Next step
Start with a 30-minute call.
Tell us what you run today and where it breaks. You get a fixed-scope quote afterwards. We don’t publish rates, because the honest price depends on scope.
Enquire
Talk to us about Custom AI agents for business workflows.
We have started the message for you. Add what you run today and we will reply within one business day.