The reporting and reconciliation between the field and the board, redesigned.
Energy, engineering, and EPC firms run on paperwork as much as on power lines — project reporting, financial reconciliation, technical documentation, and compliance evidence spread across sites and countries. We deploy the agents that carry that volume.
Where the hours go.
Project reporting is a manual roll-up
Site-level reports get consolidated into management and board updates by hand, across every location.
Financial reconciliation eats analyst time
The same reconciliation between project financials and source systems repeats on every cycle.
Technical documentation lags the work
Specs and compliance documents get written up after the fact, when the detail is hardest to recall.
Compliance evidence is scattered across sites
What was checked, where, and by whom is spread across email, local systems, and site files.
Where AI plugs in.
Project Reporting Agent
Consolidates site-level reports into a management and board-ready summary, drawn directly from source data.
Financial Reconciliation Assistant
Reconciles project financials against source systems and flags variances for review.
Technical Documentation Support
Drafts and structures specs and compliance documents from source material, ready for engineer sign-off.
Compliance Evidence Trail
Keeps a queryable record of what was checked, where, and by whom — across every site and country.
Research & Market Intelligence
Assembles desk research on markets, tenders, and regulation across the geographies you operate in.
Internal Communication Automation
Routes and drafts routine updates between field teams and head office.
Proof, not promises.
The constraint wasn't will. It was throughput — at Transrail.
A 64-country engineering and EPC group replaced ad hoc AI use with one operational intelligence layer — workforce enablement, workflow redesign, and the groundwork for agentic workflows — so status and risk reporting stop depending on whoever remembered to compile it.
Read the full case study →Built to be trusted with your data.
Review the deployment
Confirm hosting, model, integration, retention, and deletion requirements for the proposed workload.
Define the data boundary
Agree the permitted documents, systems, users, and output paths before a workflow is deployed.
Keep evidence inspectable
Design the workflow so source provenance and human review remain part of the operating process.