EI — enterprise intelligence, on the systems you already own

Enterprise intelligence.
Not another AI pilot.

Two services. An intelligence layer over the CRM, ERP and management software you already run — reading across all of them, reconciling what they disagree about, acting inside the tools your people already use. And a command center, for the people who need to see the whole operation at once.

Book a scoping callWhat we do

What the layer sits on top of

ERP
CRM
HRIS
ITSM
Data warehouse
Document stores

What the layer changes

invoice reconciliation · sample workloadbefore → after
beforechecked by hand, in three systems
after~40% fewer manual touches
Every engagement is scoped to a measure like this one — agreed before the build starts, reported on data the layer has not seen.
0systems replaced — it reads the ones you run
1answer, when four systems disagree
1screen showing the whole operation

What we provide

Two services.

One layer inside the systems you already run. One place to see across all of them.

Intelligence layer

Intelligence on the software you already run.

It sits above your CRM, ERP and management software and reads them where they are — no migration, no replacement, no data-warehouse project that has to finish first. It reconciles what they disagree about, carries a workflow across all of them, and writes the result back into the tool your people already have open.

  • Reads across CRM, ERP, SaaS and documents — read-only, at the boundary
  • Reconciles conflicts, and names which source it believed
  • Carries a workflow across systems, escalating what it should not decide alone
  • Captures the rules that exist only in your people's heads
  • Writes back into the tool where the work already happens
invoice reconciliation
readsinvoice.pdf against the purchase order
appliesmatch on SKU, never on line position
holdsoutside tolerance → escalation-queue
Command center

One screen across every system.

Your people keep working in the tools they already use. The command center is for the ones who need to see across all of them — the live state of the operation, the exceptions the layer refused to decide alone, and the reasoning behind every decision it did make. Not another queue for everyone else to live in.

  • Live state of the operation, joined across every connected system
  • The exception queue — everything the layer would not decide alone
  • Every decision, with the rule it followed and the source it believed
  • Controls: what it may act on, and what always waits for a person
command center
queueexceptions waiting on a person
choseERP 400 over CRM 380 — and why
auditevery decision → po-matching-policy

Why Shashtram Labs

You do not need another system.

Every AI programme starts by asking what you will add. But the systems you already run hold the data, the process and twenty years of decisions — the problem was never that you were short a system. It is that none of them can see the others, and the intelligence that would join them lives in four people's heads.

The AI-pilot shape

  • A new tool, beside the ten your people already have open
  • A data project that has to finish before anything works
  • A demo on clean data, which production data is not
  • No owner once the pilot team rolls off

The EI shape

  • A layer over the systems you already run — nothing replaced
  • Reads production data where it lives, disagreements and all
  • Acts inside the tools your people already have open
  • One command center for the people who need to see across all of them
ops/vendor-onboarding.mdhuman in the loop
-Match on line position.
+Match on SKU, never on line position.
A reviewer corrected the rule in the layer's knowledge base. It read the new rule on its next run — no redeploy, no model change, and the correction sits in the audit trail with the person's name on it.

MIT, State of AI in Business 2025

95% of GenAI pilots produced no measurable P&L impact. Pilots that blended internal staff with outside experts succeeded 67% of the time, against 22% for IT-only builds.

Where we work

Built for the operation, not the demo.

Four sectors where the work spans several systems, the exceptions are unwritten, and the audit trail has to hold up.

Two people working through paperwork at a desk with laptops

Financial services & insurance

Claims, onboarding and reconciliation.

Across the policy system and the CRM

Intake arrives in forty formats, the rules differ by product, and the answer sits in three systems that disagree. The layer reads all of them, applies the policy, and leaves its reasoning where compliance can check it without asking us for an export.

Talk to us about this →
Distribution warehouse floor with racking and picking totes

Manufacturing & supply chain

Planning, quality and supplier operations.

One answer, across ERP, MES and the spreadsheet

Stock, quality records and supplier terms live in different systems and contradict each other. The layer reconciles them against rules your planners set and cites which source it believed, so an answer can be checked rather than trusted.

Talk to us about this →
An engineer working at a laptop beside factory automation equipment

Energy, utilities & industrial

Asset, field and compliance operations.

From the work order through to the filing

Condition data on the asset, regulation that moves, and reports that take longer to write than the inspection takes to run. The layer drafts from prior records and the standards note, posts back to the work order, and a qualified person approves before anything is filed.

Talk to us about this →
A team working together at laptops around a table

Business & professional services

Support, research and back office.

Inside the ticket, not beside it

Tickets, contracts and research requests follow rules nobody has written down. The layer drafts against how your team actually resolved the last hundred, writes into the ticket itself, and every correction a person makes becomes knowledge the next draft already has.

Talk to us about this →

How we work

Map. Build. Run.

Most engagements end where the third one starts.

01

Map

We map what your systems actually hold, where they contradict each other, and which rules exist only in people's heads. You get a scope, a measure, a delivery plan — and an honest list of what we would not build.

02

Build

The layer, the knowledge base it reads from, the evaluation harness it is judged against and the controls around it, built together. Retrofitting any one of those is what makes a project late.

03

Run

We stay after go-live. Measured on held-out data, monitored in production, corrected by your own team through the knowledge base. If the number did not move, we say so.

Inside the layer

What it knows, in writing.

The layer's knowledge base is plain text in your storage — the rules it follows, the exceptions your people taught it, and which system it believes when two of them disagree. Versioned like code, readable by an auditor, editable by an operator.

From the layer's knowledge baseops/vendor-onboarding.md

Line order is not line identity

Invoices from this vendor list line items in a different order than the purchase order. Match on SKU, never on line position.

· · ·

Tolerance

  • Unit price: ±2%
  • Quantity: exact, no tolerance
  • Freight: ignored, reconciled separately in freight-accrual

Anything outside tolerance goes to escalation-queue. It is never auto-approved, regardless of confidence score. An operator decides.

One note the layer keeps, written after a reviewer corrected it once. Example note, production format.
How the knowledge connects5 linked
po-matching-policyfreight-accrualescalation-queueincident-2026-06-14consolidated-invoice-handlingops/vendor-onboarding.mdops/vendor-onboarding.mdpo-matching-policyfreight-accrualescalation-queueincident-2026-06-14consolidated-invoice-handling
The file on diskPlain text in your storage. Not an export from ours.
---
agent: invoice-matcher
workflow: purchase-order-reconciliation
scope: accounts-payable
…

Auditable

Every rule the layer follows is a line a person can open and read. No interface, no export request, no asking us.

Correctable

A reviewer edits the rule. The next run behaves differently. No redeploy, and the change is attributable.

Portable

Plain text outlives the model, the vendor and us. It stays readable whoever you work with next.

How we staff it

A small team, embedded with yours.

The roles on every engagement. Your people are on it too — that part is not optional.

Solution architecture

Owns the shape of the layer: what it decides, what a person decides, and exactly where that boundary sits. Works with your architects rather than around them.

Integration & data engineering

Connects the layer to your ERP, CRM and SaaS, builds the retrieval and the knowledge base, and hands them over documented well enough that your team can run and extend them without us.

Assurance

Owns the evaluation harness, the red-teaming and the held-out measurement. Reports the result whether or not it is the one anyone wanted.

Aerial view of a container port with stacked freight containers

What you actually get

Your systems already hold the answer. The work is joining them, writing down what only your people know, and proving the number moved.

Start here

Bring us one workflow.

Tell us the process that crosses the most systems. You get a scope, a measure and a delivery plan back — and a straight answer if we think it is not worth building.

Email usSee how we work

Get in touch

contact@shashtram.com+1 (512) 954-4288Gujarat, India