Nihish Robotic & Agentic AI Platform

Robotic & Agentic AI Automation for your Back and Front Office

Azure-optimized, with ready-to-deploy use cases that turn document-heavy, manual processes into a self-service, agent-run experience.

Back OfficeFront OfficeModular Logical ArchitectureAzure-Optimized Physical Architecture
What we do

We find the document-heavy workflows holding your teams back, and automate them.

Using robotic process automation with a measured layer of agentic AI, we take over the repetitive, well-bounded work, while a human reviewer stays in the loop.

  • Re-keying data from paper or PDFs into software applications
  • Review and editing for compliance
  • Cross-referencing documents against database fields and populating forms
  • Submitting forms, collecting confirmations, and reporting
  • Files scattered across applications, network drives and SharePoint

Where we see a strong fit

Our selection criteria for what to automate first:

  • High-volume, repetitive work with well-bounded inputs and outputs
  • Structured target fields, exported as templates or documents, with human review
  • Rule-based or AI-based extractor, classifier, resolver and dispatcher
  • Builds on your existing Azure stack, with no upstream or downstream disruption
The platform

Built on our ‘4A Layered Framework’

One unified robotic and agentic automation platform, engineered in four layers, that integrates with your CRM, Accounting and HR systems and turns them into one intelligent, self-service experience.

1

ASK

Plain-language chatbot grounded in your documents, CRM, Accounting and HR data using LLM + RAG.

2

AGENTS

Purpose-built AI agents engineered to run each client’s workflows end-to-end.

3

ADAPTERS

Workflows, templates and scanners wired into CRM, Accounting and HR systems for higher throughput.

4

ADMINISTRATION

No-code console for admins to extend agents, configure adapters and integrations, with built-in AI insights.

Connects to your existing systems

CRMAccountingHRIS / HCMSales OpsBack / Front Office Apps

Built entirely on Microsoft Azure*Deployed as a fully configurable shell, installed, secured and operated inside your own tenant. Your data never leaves your environment.

*AWS and GCP are also supported.

How it works

One governed pipeline, with a human always in the loop

Our logical architecture: four layers that every document or record flows through, from intake to filing.

1

Processing LayerBusiness processes run here

Ingest & UnderstandDocument intake → OCR & classification → entity / matter resolution
→
Reason & DecideCross-source validation → policy & rule checks → agentic orchestration
→
Act & FileForm generation → compliance template assembly → filing submission

2

Review LayerHuman-in-the-loop

Confidence-gated automation
Human-in-the-loop review
Review & write back
Reviewer feedback loop

3

Tech Foundation LayerQuality assurance & operations

Runtime & operations
Infrastructure
Platform routes
Tooling
Observability
Quality & assurance
Metrics & evals
Accuracy evaluation
Confidence calibration

4

Security & Governance LayerBuilt in, not bolted on

Security
Audit
Compliance
Solutioning council
Governance board

Nihish Robotic/Agentic AI Platform landing page showing the Ask Chatbot, Agents, Adapters and Administration console

Platform landing pagePlain-language chat, purpose-built agents, adapters and no-code administration, all in one self-service console. We demo it live.

Ready-to-deploy use cases

Illustrative back and front office use cases

Patterns we identify, then automate on a shared platform.

Robotic

Structured extraction + record matching

Reads incoming documents from the network drive, extracts structured fields, matches them to the right matter, and pre-fills the receipt record in your software application for reviewer approval.

Agents: Classifier · Extractor · Matter Resolver · Validator
Outcome: Eliminates manual document keying; 80-90% agent-processed documents, >95% document filling accuracy.
Robotic

Template generation from structured data

Generates compliance documents from data, documents and records. Replaces hand-editing of templates with reviewable, generated output.

Agents: Data Aggregator · Document Generator · Compliance Validator
Outcome: Final document generated from data, not hand-authored; reviewer time per filing drops sharply.
Robotic + AI

Multi-source validation + form pre-fill

Cross-validates fields across source documents and your database, then pre-populates the filing form. Flags conflicts for reviewer attention.

Agents: Document Harvester · Field Extractor · Cross-Validator · Form Drafter
Outcome: Forms arrive pre-filled; cross-source discrepancies are surfaced instead of missed.

Shared platform services, stood up once and reused across every use case

A common Document AI extraction framework with confidence scoring, a reusable reviewer-UI shell, and shared infrastructure on Azure, amortised across all use cases. Includes OCR pipeline, matter resolver, reviewer UI and orchestrator, giving you a scalable foundation for future workflows.

Delivery

From assessment to first live agent in 6 weeks

Fully productionized and built to scale, with workstreams that run in parallel.

Workstream
W1
W2
W3
W4
W5
W6
Analysis, Architecture, DesignWeeks 1–2
Requirements · Architecture · POC · Roadmap
Config & Stand-upWeeks 3–4
Shared platform in your infra
Build, Engineer & UATWeeks 3–6, runs in parallel
Agent 1 build → UAT → Go-live
In parallel Agent 1 build starts in Week 3, alongside platform config and stand-up. Agent scope is agreed by the end of Week 2.

6th week milestone: UAT / Live
How we engage

Fixed-price packages, sized to the use case

Predictable scope and cost, with future processes fitting into a simple T-shirt sizing model.

Phase 1

Discovery to first live agent

Discovery
Discovery
Architecture
POC
Roadmap
Agent sizing
Platform & first agent
Platform stand-up
Configuration
First small-size agent

Phase 2 and Beyond

Scale on the same platform

Add agents as your roadmap grows
SMLXL
Medium, large and custom / XL agents, each built on the shared platform already in place

Entire Phase 1 is <40K Fixed Price in most scenarios, though conditions apply.Industry use cases may vary.

Contact us for pricing

See it live: book a 20-minute platform walkthrough

We’ll demo the platform, including the “Ask” chatbot console, and map it to your back and front office workflows.

Book a Walkthrough

Or email us at support@nihishllc.com