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Project controls and AI automation.

Bring project information, governance routines, and automation into one operating model your team can still run after the engagement ends.

Project controls and AI automation is an advisory and delivery service that establishes reliable reporting routines before applying automation to repetitive, rule-bound work. It is for owners, contractors and PMOs that need decision-ready information, with every consequential output traceable to approved project records and reviewed by a named person.

The problem

Most capital projects are not short of data. They have a programme, cost reports, a risk register, progress records and a document register. What is missing is a dependable path from those inputs to a decision. Information is re-keyed, updates are chased by email, and by the time a report reaches a decision-maker the position it describes has moved.

That is not simply an efficiency issue. HKA's CRUX Insight research across more than 2,200 projects found sums in dispute averaged 33.4% of contract budgets. A weak routine produces a weak contemporaneous record. The work therefore starts by establishing a control environment people trust, then removes only the repetitive work around it.

Scope

Control framework and reporting routine review

Map what is captured, by whom, in which system, on what cadence, and where the real hand-offs break. The output describes the operating model that exists, not the one in a procedure manual.

Baseline and data standards remediation

Align coding, WBS and cost breakdown structures, calendars, update discipline and the definitions that have drifted between teams.

Document intelligence over approved records

Apply retrieval and extraction to correspondence, minutes, submittals, site instructions and notices. Each result is linked back to its source record.

Automation workflow design

Select high-volume, rule-bound work such as report assembly, update chasing and controlled register checks; exclude contractual judgement from automation.

Capability transfer

Provide runbooks, training and ownership so the operating team can run, adjust and extend the routine after handover.

Method

  1. 01

    Establish what exists

    Review systems, data, cadence, ownership and the actual reporting routine.

  2. 02

    Identify the decision that is failing

    Automation targets a decision and its evidence, not a fashionable task.

  3. 03

    Stabilise the control environment

    Set data standards, update rules, responsibilities and escalation points.

  4. 04

    Build narrow, prove, then widen

    Test one workflow against the manual result before extending it.

  5. 05

    Instrument for review

    Require source citation, audit logging, a human sign-off point and a defined failure mode.

  6. 06

    Transfer

    Document the routine and train the team that will own it.

What you get

Controls and reporting assessment

Current-state map, gap list and prioritised remediation sequence.

Data standards specification

Coding, WBS/CBS alignment, update rules and definitions.

Reporting routine design

Cadence, owners, inputs, outputs and escalation triggers.

Automation candidate register

Candidates assessed for volume, rule-boundedness, judgement content and risk.

Governance and handover pack

Source-citation model, review gates, logging, runbooks and training.

What we need

Engagement

Engagement length and composition depend on the question, the available records and the required decision date. An initial discussion establishes scope; no published prices or generic duration promises are used.

Engagement shapeSuitable whereTypical duration
Controls diagnosticA PMO that cannot yet locate the reporting failure.Confirmed after scope and record review
Controls remediation and routine designA project with data in place but no dependable path to a decision.Confirmed after scope and record review
Automation pilotOne workflow designed, tested and handed over end to end.Confirmed after scope and record review
Advisory retainerOngoing controls oversight and incremental automation.Confirmed after scope and record review
Capability programmeTraining-led transfer to an in-house team.Confirmed after scope and record review

Scope limits

Frequently asked questions

No. Automation is applied to repetitive, rule-bound work so the controls team can spend its time on analysis and judgement. Every output with contractual or commercial consequence passes through a named human reviewer before it is relied upon.

Initial discussion

Discuss a project controls and ai automation challenge.

Share the project context, the decision required and the records available. The first conversation is used to establish whether the work is a fit.

Syed.Hasan@Outlook.com · +971 56 162 3670 · LinkedIn

Automation is introduced as support for accountable project judgement, not as a replacement for project governance.

Last reviewed: August 2026