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15 · Intelligence & Enablement

Measure model accuracy on your data before and after customization

Adapts a model to your own vocabulary, documents and dialect where general models are not sufficiently accurate.

In 30 secondsCustom Model Development & Fine-Tuning
What it performs

Adapts a model to your own vocabulary, documents and dialect where general models are not sufficiently accurate.

Tools and channels

The client's own documents, transcripts and records

What stays human

Exceptions and sensitive decisions that require authority or human judgement.

01

What it does

General models perform well on general language and less well on the specific: internal product codes, clinical and technical terminology, regional dialect, and the shorthand a particular organisation uses. Where accuracy testing demonstrates that this is affecting results, we assemble a training set from your own material, apply fine-tuning or retrieval according to what the evidence supports, and measure accuracy against a held-out set of genuine cases before and after the work. You receive the measured results rather than an assurance.

02

How it works, step by step

This standard example shows the steps, decision rules, and human handoff point. We tailor it after reviewing your systems and policies.

  1. Arrives fromA business task that general models or ready-made automation cannot handle reliably
  2. Step 1Defines the task, available data, and the baseline used for comparison
  3. Step 2Builds a prototype and tests it on representative samples before any operational connection
  4. ChecksDoes the model meet the agreed accuracy, cost, and latency threshold?
    • Threshold metReleased to a limited scope with performance and drift monitoring
    • Threshold missedNot released; the data design is revised or a simpler, safer route is recommended
  6. RecordedThe version, data, tests, and usage boundaries are documented before handover
03

Operates across

  • The client's own documents, transcripts and records
04

What is included

01A baseline accuracy measurement taken before work begins
02A training set assembled from the client's own material
03Fine-tuning or retrieval selected on the evidence
04Documented evaluation against genuine held-out cases
05

The guardrails it runs under

Four principles govern what we build and what we decline, and they apply to every agent without exception.

Operational honestyWe commit only to processes we can measure. Where an agent cannot outperform the current method of working, we say so before the contract is signed.
Human oversight by designEvery agent operates within defined limits and escalates to a named individual. Authority is granted deliberately by the client and never assumed by the system.
Arabic first, English equallyYour customers write in dialect, switch language mid-sentence, and expect to be understood. We build for that reality rather than translating around it.
Deliver, then expandWe begin with one high-impact process and earn the next. Scope discipline protects your budget as much as it protects our credibility.
06

Included in every engagement

  • Defined permissions, escalation to a named owner, and reporting
  • Delivery as a scoped pilot, an operations retainer, or a build-and-handover project
  • Operation across WhatsApp, web chat, voice, email, and your CRM and calendar

Services on the same track

Data, Reporting & Analytics DashboardsA dashboard reporting what the agents performed, at what cost, and to what effect.AI Training & Team EnablementTrains your staff to supervise, operate and extend the delivered systems, with operating guides and separate sessions for supervisors and managers.

Identify the process that carries the highest cost

We will demonstrate how a Falaq agent would carry it out, beginning with a scoped engagement and measures agreed in advance.

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