العربية Start with one workflow

IIBottlenecksعنق الزجاجة

Find the step where work waits. Release it.

AI deployed against the step where work waits

AI that stays in a slide deck changes nothing. We start from one real workflow, find the step where work piles up, and ship the system that clears it: into production, then the next workflow.

01The method

  1. 01

    Find the knot.

    We map one real workflow with the people who run it, on real data, and locate the step where the work waits.

  2. 02

    Deploy against it.

    One workflow at a time, shipped into production rather than demonstrated in slides.

  3. 03

    Let agents carry the steps.

    Agents do the multi-step work inside the systems you already run, with scoped permissions, human checkpoints and a record of every action.

  4. 04

    Measure every release.

    An evaluation harness ships with every system we build, so each change is measured before it reaches your people.

  5. 05

    Widen when the numbers hold.

    The next workflow starts when the first one holds its numbers in production.

02How to spot a bottleneck worth fixing

  • Work waits in an inbox between two systems.
  • The same document is read by five people for five reasons.
  • Data is typed twice.
  • Arabic is handled as a translation step at the end.
  • A deadline that does not move meets a process that does not scale.
  • A release is approved because the demo looked right.

03Bottlenecks we work on

Each pattern names where the work waits, what we deploy against it, what stays with people, and what we measure. Results appear here only when a client's measurement meets our evidence policy and the client agrees to publish.

01 / 07

Tender response

Where the work waits
Reading a long tender pack, building the requirement matrix, and finding answers the organisation already wrote.
How you recognise it
  • Bid teams re-read the same pack several times
  • Mandatory clauses are found late, or not at all
  • Answers are rewritten because nobody can find the approved version
What we deploy
Jawabid extracts every requirement into a matrix and drafts from your approved library; agents route the gaps to their owners.
What stays human
Bid or no-bid, pricing, commitments and the final compliance review.
What we measure
  • Time to first complete draft
  • Requirements missed at review
  • Share of drafts reused from approved content
Starts with
One representative tender pack.

03 / 07

Document intake and re-keying

Where the work waits
Forms, invoices and requests arriving in Arabic and English, typed by hand into several systems.
How you recognise it
  • The same data is entered into more than one system
  • Exceptions live in someone's inbox
  • Cycle time depends on who is on leave
What we deploy
Extraction, validation against business rules, and writes into the system of record, with exceptions routed to people with their context.
What stays human
Exceptions, approvals with financial or legal effect, and changes to the rules.
What we measure
  • Cycle time
  • Error rate
  • Exception rate
Starts with
A baseline of the process as it runs today.

04 / 07

Internal knowledge lookup

Where the work waits
Policies, procedures and past decisions scattered across shares and inboxes, answered by whoever remembers.
How you recognise it
  • New staff ask the same questions for months
  • Two teams give different answers to one policy question
  • Search returns documents, not answers
What we deploy
Cited answers from your own documents, filtered by each person's permissions, in Arabic and English.
What stays human
Policy ownership, and anything the documents do not settle.
What we measure
  • Groundedness rate
  • Citation validity
  • Time to an answer
Starts with
A corpus sample and twenty real questions.

05 / 07

Bilingual content production

Where the work waits
Campaign and catalogue content written in English first, translated late, and checked against the brand by hand.
How you recognise it
  • Arabic copy ships days after the English
  • Catalogue text lags the product data
  • Brand review is the slowest step
What we deploy
Lenci generates Arabic and English natively from your brand guidelines and product data, with a person approving before publication.
What stays human
Approval, brand judgement, and rights to reference material.
What we measure
  • Assets per campaign cycle
  • Approval rate at first review
  • Brand-guideline conformance
Starts with
Brand guidelines and one catalogue segment.

06 / 07

AI release decisions

Where the work waits
Deciding whether a change to a prompt, model or index is safe to ship, with nothing to compare it against.
How you recognise it
  • Releases are approved on a demo
  • Nobody can say whether the last change helped
  • Arabic quality is never measured on its own
What we deploy
An evaluation harness runs your evaluation set on every change, compares releases per language, and blocks rollouts that regress.
What stays human
Setting the thresholds, and the release decision itself.
What we measure
  • Regressions caught before release
  • Evaluation coverage
  • Time from change to decision
Starts with
A baseline on the system you run today.

07 / 07

Knowing where to start

Where the work waits
A long list of AI ideas, no sequence, and pilots funded by enthusiasm.
How you recognise it
  • Several pilots, none in production
  • Nobody owns the system after handover
  • The data a use case needs turns out to be unreachable
What we deploy
A readiness assessment and a sequenced roadmap, with prerequisites and the cases to decline.
What stays human
Investment decisions and ownership.
What we measure
  • Use cases taken to production
  • Time from roadmap to first release
Starts with
The readiness self-check, or a scoping call.

04What stays human

Before we build, we agree with you which steps stay with people. By default: anything with legal or financial effect, anything irreversible, anything published under your name, and every exception the rules do not settle.

05Baseline first

We measure the workflow as it runs today before we change it: volume, cycle time, error and exception rates, and for AI steps, task success and groundedness. The same measures are taken after go-live. That comparison is the result, and it belongs to you.

Tell us where your work waits

One workflow is enough to start. If AI is the wrong tool for it, we will say so.

Start with one workflow info@siyadatech.com