Chapter 01 · Core strength

AI where the manual work is.

Most enterprise AI stalls at the demo. Ours ships because we start from the workflow, not the model.

Talk to us about a workflow See the intake figure

Document intake, as a system.

Invoices, contracts, and forms are read, validated, and posted into your systems. Anything the system is not sure about goes to a person first.

Fig. 01Document intakeILLUSTRATIVE
Document intake with a human review step Eight sample documents flow from an inbox through read and validate steps to posting into an ERP. Documents below the confidence line detour to a person before posting. With human review switched off, exceptions post unreviewed. Inbox Read Validate Human review PostUnreviewed
Exceptions
Exceptions
Human review
Posted 00 Reviewed 00
Sample documents. Clean ones post straight through; exceptions go to a person first.
  1. Documents arrive in the inbox.
  2. The AI step reads each one.
  3. Validation checks the result.
  4. Clean documents post to your systems.
  5. Exceptions go to a person, who approves or corrects.
  6. Approved exceptions post.
Chapter 01 · Start from the workflow, not the model

Start from the workflow, not the model.

We map the steps your team repeats every day. We automate the ones a machine does better. We keep a person on the decisions that matter. That order is the whole method.

  1. 01

    Map

    Every step, who does it, and how long it takes.

  2. 02

    Automate

    Reading, matching, drafting, classifying: the steps a machine does better.

  3. 03

    Keep a person on the decision

    Approvals, exceptions, and anything with money or a customer attached.

Chapter 02 · Where it works today

Where it works today.

Five kinds of work we have already put AI on. Each one has a clear input, a clear output, and a person who signs off.

01Document intakeInvoices, contracts, and forms read, validated, and posted into your systems.
In
invoices, contracts, forms
Out
validated records in your systems
Who reviews
your finance or operations team, on the exceptions
02Catalog operationsProduct content drafted, enriched, and categorized before a person ever touches it.
In
raw product data
Out
drafted, enriched, categorized content
Who reviews
your catalog team, before publish
03AI searchVector, image, and voice search across products, documents, and data.
In
a typed query, an image, or a voice request
Out
results across products, documents, and data
Who reviews
the person searching chooses; nothing is posted
04Reporting and reconciliationClose packages and recurring reports assembled and checked automatically.
In
ledgers, sub-ledgers, recurring reports
Out
close packages and reports, assembled and checked
Who reviews
your finance team, before sign-off
05Support triageIncoming requests read, classified, and routed, with the hard ones flagged for a person.
In
incoming requests
Out
classified, routed requests
Who reviews
your support team, on the flagged ones
Chapter 03 · The human stays on the decisions that matter

The human stays on the decisions that matter.

Automation earns trust by being reviewable. Every workflow we ship has a step where your team approves, corrects, or overrides, and that step is designed in from the workshop, not added after.

Fig. 02The review step
The human review step and its three outcomes A review node with leader lines to three outcomes: approve, correct and override. Review Approve Correct Override
One step, three outcomes. Your team owns it.
  1. An exception reaches a person.
  2. They approve it, correct it, or override the system.
  3. The item continues with the decision recorded.
Chapter 04 · Data and reporting

Data and reporting.

Reports, dashboards, and the pipelines that feed them. Data and technology, one team: we build the data layer that AI and finance both need, and we keep it honest with reconciliation.

Python OpenSearch Kafka
Chapter 05 · How an AI engagement runs

How an AI engagement runs.

A workshop to pick the workflow. A build that ships the automated steps with the review step your team owns. Integration into the systems you already run. Then we stay on.

Fig. 03An engagement, in four stations
An engagement in four stations A dotted path runs left to right through four stations: Strategy, Build, Integration and Run.
  1. 01Strategyworkshop · scope · estimate
  2. 02Buildshort cycles · working software
  3. 03Integrationyour systems · reconciled
  4. 04Runsupport · the same team
  1. Strategy: a workshop, then a scope, a plan and an estimate.
  2. Build: working software each cycle, reviewed by your team.
  3. Integration: connected to the systems you already run and reconciled before sign-off.
  4. Run: production support from the same team.
How an engagement runs →

Questions.

01Which models do you use?

The one that fits the workflow. We design the workflow so the model can be swapped when a better one arrives.

02Do you replace our team?

No. We remove the repetitive steps and keep your people on the decisions.

03How do we start?

With one workflow, not a platform. Pick the one eating the most hours.

04Where does our data live?

In the systems you already run. We integrate with them; anything beyond that is decided with you in the workshop.

Pick the workflow eating your team's week.

Tell us the manual step, the volume, and the systems it touches. We will come back with an approach and an estimate.

Talk to us about a workflow

contact@sridainfotech.com+91 40 4709 2308