Today
Manual preparation across systems
- 1Collect updates
- 2Copy into spreadsheets
- 3Reconcile figures
- 4Write commentary
- 5Review and distribute
EPC & engineering
Operational workflows
Project reporting
Human approval retained
Document Workflows
Controls and exceptions
Coordination
Practical next steps
Less manual reporting.
Faster document workflows.
Clearer project decisions.
5
EPC workflow domains we address
3
phases from assessment to operations
Human
approval at critical decisions
Your stack
augmented, not replaced
— Recognisable operational problems
Your team should not have to rebuild the same information.
Reporting is assembled across systems. Current documents are difficult to locate. Vendor actions are chased manually. These are workflow problems before they are AI problems.
Kresto starts with the repeated work, the people who review it, and the systems already involved—then helps you decide whether a scoped assessment is the right next step.
Request a Workflow Review ↗Common operating frictionPractical workflow response
ChatGPT experiments≠AI strategy
Awareness≠adoption
More tools≠more output
AI hype≠AI readiness
Experiments≠transformation
AI interest≠AI infrastructure
Start with one workflow that is repeated, visible, and worth improving. The introductory Workflow Review helps establish whether a deeper assessment is justified.
— A practical example
What changes in your weekly reporting workflow.
Your team retains approval while repetitive preparation and coordination steps are automated. This is an illustrative example, not a client result.
Human-led
Illustrative proposed workflow
Automate preparation. Keep approval.
- 1Connect approved sourcesAutomated
- 2Validate data and flag exceptionsAutomated + review
- 3Draft the reportAutomated draft
- 4Project manager approvesHuman decision
- 5Distribute the approved versionAutomated
— Where We Create Value
Where we remove manual work across the project lifecycle.
Kresto is built around the workflows that slow project teams down: documents, controls, procurement, coordination, and management information. We redesign the operating system around the work—not around a generic AI tool.
01
Engineering & Document Intelligence
Reduce the time teams spend searching, reading, classifying, and interpreting engineering information.
Specifications and drawingsRFI / TQ retrievalRevision comparisonSubmittal classificationProject knowledge search
02
Project Controls & Reporting Intelligence
Turn fragmented project signals into reliable reporting and management visibility.
Weekly and monthly reportingP6 / ERP reconciliationManagement dashboardsAction trackingVariance narratives
03
Procurement & Vendor Intelligence
Reduce manual coordination while surfacing procurement exceptions before they escalate.
Quotation comparisonsVendor follow-upsPO trackingSubmittal statusOverdue-action alerts
04
Project Coordination & Risk Intelligence
Make correspondence, actions, and early-warning signals easier to act on before they become delivery risk.
RFI routingMeeting actionsChange trackingCorrespondence triageEarly-warning signals
05
Management & Enterprise Intelligence
Convert cross-system project information into usable executive context and decision support.
Portfolio dashboardsExecutive summariesCross-system integrationConversational queriesDecision support
The starting point is always the same: understand the operational bottleneck, establish what good looks like, and build AI around the existing project reality.
— How We Work
Three capabilities
behind AI transformation.
Assess → Build → Embed.
We understand the workflow before we automate it, then make the change usable in day-to-day project operations.
01 / Assess
Assess
Define the right problem.
After the introductory review, a scoped assessment maps the selected workflow, its systems, handoffs, controls, and practical constraints before a solution is proposed.
OutputAn agreed assessment scope and a clear decision on whether a Blueprint is the appropriate next step.
Not sure where to start?
Start with a free 30-minute Workflow Review. We will discuss the bottleneck, assess fit, and explain the appropriate next step—without promising a detailed Blueprint before scope is agreed.
— AI Workflow Blueprint
See what a scoped Blueprint can include.
An AI Workflow Blueprint is a paid, scoped assessment output. It turns an agreed workflow investigation into a practical implementation decision—not a generic template or a promise made during an introductory call.
Illustrative sample — not a client result. The project-reporting example below shows the type of information that may be agreed within a scoped assessment.
Current workflow map
Steps, systems, handoffs, manual effort, and operational bottlenecks in one readable view.
Proposed workflow
Automation steps, human approvals, and exception routing designed around the agreed operating process.
Opportunity register
Candidate improvements prioritised against expected operational impact, implementation effort, readiness, and dependencies.
System requirements
Required source data, integrations, access boundaries, controls, and validation dependencies.
Implementation sequence
Agreed phases, owners, milestones, measures, and review points for the scoped engagement.
Illustrative opportunity matrix
Decide what to tackle first.
Placement depends on the client baseline, data readiness, risk, dependencies, and agreed controls. These labels are examples, not a universal ranking.
Operational impact
HighReporting
HighDocument retrieval
LowVendor follow-up
LowAssess during scoping
Low implementation effortHigh implementation effort
| Opportunity | Expected impact | Illustrative effort |
|---|---|---|
| Project reporting | High | Low to medium |
| Document retrieval | High | Medium to high |
| Vendor follow-up | Lower to medium | Low to medium |
— The Technology Behind The Transformation
Built around your workflows.
Not another tool to manage.
The technical layer supports business transformation. Kresto brings the capabilities needed to make project work easier to find, coordinate, review, and act on—without turning your organisation into an AI experiment.
01
Document intelligence
Read, classify, extract, and query specifications, RFIs, contracts, BOQs, and project documentation.
02
Agentic workflow orchestration
Coordinate multi-step work while retaining human approval at meaningful decision points.
03
Project data integration
Connect approved ERP, P6, EDMS, CRM, spreadsheet, and project-system data without forcing replacement.
04
Management intelligence
Turn fragmented data into dashboards, summaries, risk signals, and decision-support views.
05
Conversational project interfaces
Let authorised teams query project information through approved web, Teams, Slack, or other interfaces.
06
Workflow measurement
Establish a baseline for effort, handoffs, errors, and adoption before and after operational change.
— Enterprise-Ready By Design
AI your engineering, IT, and legal teams can review.
Enterprise readiness is not a badge. It is the set of decisions agreed before systems touch sensitive project work: who can access what, where review remains mandatory, how outputs are checked, and how responsibility is retained.
01
Data control
We design around the agreed processing, storage, and data-handling boundaries for each engagement.
02
Human-in-the-loop
Critical approvals and judgement calls remain with named people, not an unattended model.
03
Access controls
Role-based permissions can be designed for sensitive project, commercial, and management information.
04
Auditability
Workflow actions, source context, and generated outputs can be logged and reviewed where required.
05
Deployment choices
We assess cloud, client-environment, and private deployment options only where they are genuinely viable.
06
IP & governance
We define ownership, validation thresholds, acceptable-use rules, escalation paths, and operating responsibilities up front.
Specific architecture, deployment, security, and contractual commitments are confirmed during scoping—not assumed on a marketing page.
— The Founder
"AI transformation fails when it's treated as a technology problem. In EPC and engineering, it's a systems and process problem. That's exactly what we solve."
Kumash Shah
Principal Consultant, Kresto · AI workflow automation and digital transformation
About Kumash ↗— Latest Insights
From the
knowledge base.
Project Controls9 min read
Project Controls Data Readiness: What to Fix Before You Automate Forecasts
August 2026Read ↗
Change Management8 min read
Why Engineering AI Pilots Stall at Adoption—and What the Operating Model Needs
August 2026Read ↗
Workflow Automation9 min read
How to Choose the First Workflow to Automate in an EPC Business
August 2026Read ↗
— FAQ
Questions every leader asks before they start.
Still have questions? Bring them to the free 30-minute Workflow Review.
Start with the workflow
slowing your team down.
Tell us where reporting, documents, or coordination take too much manual effort. We will review whether Kresto can help and explain the appropriate next step.
Request a Workflow Review ↗