The capability ceiling.
Quality depends on a few experienced people. When they are stretched—or leave—output drops with them.
Help your team prepare tenders, find approved information and process documents with AI. We connect one workflow to your existing systems, measure the result and keep your people in charge.
Start with one valuable workflow.
Measure time, quality and running cost.
Keep decisions with your team.
When information is scattered and every document starts from scratch, experienced staff become the bottleneck. Begin with the repeated task your team can measure.
Quality depends on a few experienced people. When they are stretched—or leave—output drops with them.
Days disappear into re-typing, translating, formatting and chasing approvals instead of the work clients pay for.
Missing evidence, outdated templates and inconsistent answers send work back for another round of checking.
Each engagement reduces uncertainty before increasing scope.
Agree the workflow, baseline, data permissions and business case.
Configure a bounded workflow with approvals and security controls built in.
Test quality, exceptions, language and cost against agreed acceptance criteria.
Enable your team to run, measure, and improve the system.
For engineering, professional services and operations teams with recurring document work. Choose a workflow; the assessment defines its scope, evidence and delivery plan.
Build a requirements checklist and draft from approved past work, with source references and missing evidence flagged for your bid owner.
Measure: preparation time, review effort and requirements coverage.
Find answers across approved policies, manuals and records, with citations, access permissions and a clear fallback when evidence is missing.
Measure: retrieval time, answer quality and unresolved questions.
Extract agreed fields from invoices, purchase orders or forms into a review queue. Staff approve exceptions before an export or agreed system update.
Measure: handling time, field accuracy and exception rate.
One workflow, agreed boundaries and a written quote before work starts. Expand only when the evidence supports the next step.
Discuss your workflowAssessment, implementation and ongoing support are separate engagements. Each has its own scope and decision to proceed.
A paid, fixed-scope review of one workflow. Receive a baseline, sample-data review, risk priorities and a business case with an implementation estimate. The recommendation may be to improve the process before adding AI.
Build and evaluate the agreed workflow. Move into live use after acceptance, with team training, operating instructions and a handover.
Optional ongoing support for accepted workflows: quality checks, incident triage, usage and cost reviews, and an agreed improvement backlog.
The assessment has an agreed fixed fee. Implementation is quoted after scope and sample data are reviewed; support is priced separately. Your proposal lists deliverables, limits, milestones and any model, software, hosting or other third-party costs.
We confirm timing after reviewing source quality, languages, integrations and approvals. Work starts when the agreed access and client inputs are available. A demonstration is an evaluation step; live use requires acceptance checks and an operating owner.
Your organization retains ownership of its data. Before work starts, we agree hosting, access, retention, supplier terms and the handover of project deliverables. The proposal distinguishes client deliverables from licensed tools and reusable components, with export and exit arrangements made explicit.
Yes. We assess the tools and systems you already have before recommending additional software. The engagement focuses on workflow fit, source quality, approvals and measurable value. Your team can take over operations, or agree ongoing support with us.
Explore illustrative workflows by sector. Scope, suitability and requirements are assessed for each organization.
Bring approved proposals, certificates and technical references into a reviewable draft. A bid owner verifies requirements, pricing and every commitment before submission.
Governance is designed into the workflow, not added after launch.
Classify what can leave, what stays private, and what cannot enter the workflow.
Name who reviews, approves, overrides, and remains accountable.
Record sources, model behavior, approvals, incidents, and changes.
Keep ownership, portability, and exit paths explicit.
Use four questions to prepare for a discussion. This self-check gives initial guidance; readiness needs evidence from your workflow and data.
Tell us the task, how often it happens and who owns it. In an initial conversation, we will check fit and discuss whether a paid workflow assessment is useful. Scope and fees are agreed before work begins.
info@iraq.ai