Intelligent Automation

AI-native automation that reads, decides and acts across your systems.

We replace brittle RPA scripts with AI-native workflows that read documents, reason with LLMs, and take action across your ERP, CRM and email — with observability built in.

Overview

Classic RPA breaks the moment a screen changes or a document format shifts. Intelligent automation combines LLMs, OCR and structured tools to handle real-world variance — with human-in-the-loop where judgment is required.

T7 Solution designs automations around business outcomes: back-office ops, data reconciliation, report generation, approval flows and cross-system handoffs. We instrument every step so you see throughput, error rates and cost per transaction.

We integrate with SAP, Oracle, Tally, Zoho, Salesforce, HubSpot, SharePoint, Google Workspace and hundreds of other systems via API, browser automation or file drops.

Outcomes clients see

70%
Ops FTE effort saved on routine work
<24h
Turnaround on document workflows
0
Silent failures — every step observable

What we deliver

Document → Data → Decision

OCR + LLM extraction feeding rules and workflows automatically.

Cross-System Orchestration

Move data reliably across ERP, CRM, email, DMS and databases.

LLM Agents with Tools

Bounded agents that call APIs, query data and draft responses.

Human-in-the-Loop

Approval queues, exception handling and one-click review UIs.

Observability

Per-step logging, retries, cost tracking and SLA dashboards.

Governance

Role-based access, audit trails and change control.

Use cases

Accounts Payable

Invoice ingest → 3-way match → GL code → post to ERP → payment.

Order-to-Cash

Order capture from email/PDF → validation → ERP entry → confirmation.

Data Reconciliation

Match transactions across bank, ERP and payment gateway; flag exceptions.

Report Generation

Pull, transform and deliver weekly ops/finance/sales reports automatically.

How we work

Step 1

Process Mining

Map the current workflow, volumes, error rates and cost.

Step 2

Design

Pick the right mix of LLM, OCR, rules and tools — with HITL where needed.

Step 3

Build & Pilot

Ship a working automation in 3–6 weeks, run in parallel with humans.

Step 4

Scale

Cut over, monitor SLAs and expand to adjacent processes.

Tech we use

n8nTemporalAirflowLangGraphZapierMakePlaywrightPythonOpenAIClaude

Frequently asked questions

Isn't this just RPA with AI?

No. Traditional RPA needs deterministic inputs. Intelligent automation handles variance, ambiguity and natural language — with LLMs and OCR at the core.

How do we handle mistakes?

Every workflow has confidence thresholds and a human review queue for edge cases. We measure and reduce exception rate weekly.

What's the ROI timeline?

Most clients see payback in 4–9 months on their first workflow. Subsequent workflows are faster and cheaper.

Do you replace our RPA?

Often we augment it — keeping stable RPA where it works, and replacing fragile bots with AI-native flows.

Intelligent Automation by location

We deliver intelligent automation across our core markets, with on-site discovery and local timezone support.

Ready to Build Your AI Product?

Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.

  • · AI feasibility & architecture review
  • · Product / MVP roadmap
  • · Integration & automation strategy