Material delivery risk
Flag purchase orders likely to land late by comparing promised dates with supplier history, shipping status, and site need dates.
Connects: ERP purchasing, logistics feeds, project schedules
AI that ships to the job site, not just the demo.
PerfectAI provides forward deployed engineers who sit with your planners, buyers, and site teams, connect AI to the systems you already run, and stay until it's used every day.
See the use cases Email usWhere forward deployed AI pays off
These are the problems we're built for: high-cost decisions, data spread across old and new systems, and teams who need an answer during the shift, not after the monthly review.
Supply chain and procurement
Long-lead materials, many suppliers, and changes that ripple across projects.
Supplier rerouting
When a supplier slips, an agent proposes alternate sources or stock transfers between projects, with the cost and schedule trade-off spelled out for the buyer.
Connects: Approved vendor lists, inventory, contract terms
Demand and redistribution planning
Forecast material demand per project and move surplus to where it's needed before anyone places a new order.
Connects: Consumption history, project phases, warehouse stock
Procurement document intelligence
Read quotes, specs, and change orders, pull out the terms that matter, and check them against the contract before approval.
Connects: Document stores, contract records, approval workflows
EPC and construction
Engineering, procurement, and construction teams working off different versions of the truth.
Constructability prediction
Score upcoming work packages for readiness by checking materials, drawings, permits, and crews, so foremen start work that can actually finish.
Connects: Schedules, material status, engineering deliverables
Schedule recovery assistant
When the critical path moves, show which activities can be resequenced and what each option does to cost and completion date.
Connects: Primavera P6, progress reports, resource plans
Field question answering
Give site engineers a plain-language way to ask about specs, RFIs, and past lessons learned, with every answer linked to its source document.
Connects: Specs, RFI logs, lessons-learned libraries
Legacy system integration
Bring data from older project tools into one model without a rip-and-replace, so new AI tools and existing teams share the same records.
Connects: Change data capture from legacy databases
Enterprise AI platform
The plumbing that lets every new use case go live faster and safer than the last.
Agent tool servers
Expose your systems to AI assistants through secure, standards-based tool servers, with company sign-in, per-user permissions, and a full audit log.
Connects: Identity provider, internal APIs, API gateway
Operational data pipelines
Stream changes from source systems into a governed data model, with development, test, and production environments that match.
Connects: ERP databases, data platform, CI/CD
Decision apps for frontline teams
Build the screens planners and buyers actually use: one view of the problem, the AI's recommendation, and a button to act on it.
Connects: Shared data model, workflow actions
Evaluation and guardrails
Test agents against real scenarios before launch, then monitor answer quality, tool use, and cost after it.
Connects: Logs, tracing, test scenario libraries
How an engagement runs
Forward deployed means we work where the problem is. Each stage ends with something your team can use.
Embed
Spend the first weeks with the people who make the decision. Map how it's made today and what a better answer is worth.
Connect
Wire up the source systems and build a data model named in your team's own terms, not the database's.
Ship a pilot
Put a working tool in front of real users on a live project, then improve it weekly from what they tell us.
Harden and hand over
Add security, monitoring, and documentation, and train your team to run and extend it without us.
What we hold to
People approve the actions
Agents recommend and draft. Anything that spends money or changes a record goes through a person first.
Your permissions, enforced
AI tools see only what the signed-in user is allowed to see, checked by the source system, not by a prompt.
Built on what you run
We extend your existing platforms and data instead of adding another silo to maintain.
Have a decision that's costing you every week?
Tell us what it is and where the data lives. We'll reply with whether forward deployed AI is a fit and what a first pilot would look like.
Email kumaran@perfectai.tech