TThynkBloxAI

Services

Four capabilities, one delivery model

We automate individual processes, build agents scoped to a single job, connect them through an operating layer over the systems you already run, and then operate the result month to month.

Each capability is sold the same way: a fixed-price audit establishes the baseline, a fixed-scope pilot proves one process, and only then does anything scale. You can stop after any stage and keep everything produced up to that point.

Book an AI auditHow we work
01Capabilities

What we actually build

Read these in order — most engagements move through them in sequence.

S-01

AI workflow automation

One high-volume, rule-heavy process automated end to end, with humans keeping sign-off on exceptions.

We take a process your team repeats every day — invoice matching, ticket triage, order entry, claim intake — and automate the steps a person currently performs by hand. The system reads the messy input, applies your rules, updates the system of record, and escalates anything it is not confident about. Nothing is automated on the strength of a demo: we measure the current baseline first, then measure the same way after go-live.

What you get

  • Process map with the current baseline measured
  • Working automation integrated with your live systems
  • Exception queue with human sign-off
  • Handover documentation and team training

S-02

Custom AI agents

Agents that read your documents, call your APIs, and complete a defined task with a full audit trail.

An agent is given a goal, a bounded tool list, and a hard stop where a person must approve. It reads unstructured input — email, PDF, free text — decides which system to call, and completes the task. Every run records its inputs, the tools it used, its output, and the approver. Scope is deliberately narrow: a small agent that reliably closes one loop is worth more than a general assistant nobody trusts with production data.

What you get

  • Agent scope, tool list, and permission boundary
  • Evaluation set with pass thresholds before release
  • Per-run audit log you can query
  • Escalation and rollback paths

S-03

AI operating layer

A connected layer across ERP, CRM, helpdesk, and file storage so agents share one view of your data.

Individual automations stall when each one has to solve access, identity, and data quality on its own. The operating layer sits on top of the systems you already run and gives every agent one authenticated way to read and write, one place where permissions are defined, and one log. It is built on your existing stack — there is no rip and replace, and no new system of record.

What you get

  • Integration layer over your existing systems
  • Central permission and credential model
  • Shared logging, evaluation, and rollback
  • Architecture documentation for your IT team

S-04

Managed AI operations

Monitoring, accuracy evaluation, model and prompt updates, cost tracking, and a monthly report.

Automation that nobody maintains degrades quietly. Models change, upstream formats drift, and volumes move. We run scheduled evaluation against a held-out set, watch accuracy and escalation rates, apply model and prompt updates behind the same tests, track cost per process, and send a monthly report of what the agents did, what they escalated, and what they got wrong.

What you get

  • Continuous accuracy and escalation monitoring
  • Model, prompt, and integration updates
  • Cost tracking per process
  • Monthly performance report
02Architecture

How the layer fits your stack

Agents do not talk to your systems directly. Everything passes through one controlled layer.

Individual automations stall when each one has to solve access, identity, and data quality on its own. The operating layer gives every agent one authenticated path in, one place where permissions are defined, and one log — without introducing a new system of record.

L1Your systems of record
ERP
CRM
Helpdesk
Email & files
L2AI operating layer

Connectors

APIs, DB views, scheduled exports, email intake

Access control

Scoped, revocable credentials per agent

Audit log

Inputs, tools called, output, approver

Evaluation

Held-out set, thresholds, rollback

L3Agents, one scope each
Invoice matching
Ticket triage
CRM updates
Report assembly

L4 · Approval gate

Money movements, ledger postings, customer-facing sends, and deletions require a named person to release them. Everything else writes straight back to the system of record, logged.

No new system of record. The layer sits on the stack you already run, so removing it leaves your data exactly where it was.
03Integrations

We work with the systems you already run

Documented APIs where they exist; database views, scheduled exports, or email intake where they do not.

ERP

  • SAP
  • Oracle
  • Microsoft Dynamics
  • Tally
  • Zoho Books

CRM

  • Salesforce
  • HubSpot
  • Zoho CRM
  • Pipedrive

Support

  • Zendesk
  • Freshdesk
  • Intercom
  • Jira Service Management

Data & files

  • PostgreSQL
  • SQL Server
  • SharePoint
  • Google Drive
  • S3

Not on the list is not a blocker. The audit confirms exactly how each system will be reached, and what it costs, before you commit to a pilot.

04Engagement

Three ways to start

Indicative structure. Final pricing is quoted on scope, in writing, before work begins.

E-01About 2 weeks

AI audit

Fixed price

The entry point. Process map, data-readiness check, ranked opportunity list with estimated hours saved, and a costed pilot plan.

  • Interviews with the teams doing the work
  • Ranked shortlist with estimated payback
  • Data and systems readiness assessment
  • Costed plan for the first pilot
E-024–8 weeks

Pilot

Fixed price on scope

One process, built and live, measured against metrics agreed up front. It ends with a working system and a number, not a slide deck.

  • Success metrics agreed before build
  • Integrated with your live systems
  • Human approval steps where they matter
  • Handover documentation and training
E-03Ongoing

Scale & managed ops

Monthly retainer

Extending to further processes plus the running of what is already live — monitoring, accuracy checks, updates, and cost control.

  • Monitoring and accuracy evaluation
  • Model, prompt, and integration updates
  • Cost tracking per process
  • Monthly performance report

Not sure which process to start with? See what other teams automate first.

Next step

Tell us the process that eats the most hours

We will tell you whether an AI agent can run it, what it would take, and what it would cost — before you commit to anything.

Talk to an engineerCall +919244500709