Perimattic
Enterprise AI

AI-Powered Document Processing & Knowledge System for a Major Consulting Firm

A global consulting firm modernised knowledge discovery with an AI system connecting SharePoint, RAG pipelines, and prompt-based search — cutting research cycles from days to hours.

Industry: Professional Services & Consulting|Tech stack: Python, LangChain, Azure OpenAI +5 more
Work with us
AI knowledge system search UI over consulting firm documents

65%

Faster knowledge discovery

50%

Reduction in document prep time

RAG

Citation-backed AI search

SharePoint

Seamless integration

Back to all case studies
About the Client

About the Client

A global consulting firm with thousands of consultants and analysts needed to transform how they handled internal documents, discovered knowledge, and managed content workflows. Consultants struggled to find relevant deliverables using outdated keyword search, document creation was manual and time-consuming, and competitive benchmarking was slow and error-prone. The solution needed to integrate directly with their existing SharePoint infrastructure and enterprise technology stack.

The Challenge

The Challenge

1

Inefficient Search & Knowledge Discovery

Consultants struggled to find relevant deliverables, reports, and proposals due to outdated keyword-based search — wasting hours on what should be simple lookups.

2

Manual Content Workflows

Document creation for proposals, Statements of Work, and client reports required significant manual effort and coordination, slowing down delivery timelines.

3

Competitive Benchmarking & Due Diligence

Analysing competitor moves, financial reports, and contracts manually was slow and error-prone — limiting the firm's ability to surface insights at speed.

Our Approach

What We Did

1Intelligent Document Understanding & Search

  • Integrated AI-powered search with SharePoint repositories for contextual document discovery
  • Enabled prompt-based search with direct citations from source documents
  • Built summarisation and extraction tools for project plans, invoices, and regulatory filings
  • Implemented RAG (Retrieval-Augmented Generation) pipelines for citation-backed responses

2AI-Powered Content Creation & Automation

  • Developed a digital assistant for drafting proposals, SoWs, and pitch decks
  • Built auto-newsletter generation filtered by industry, theme, and geography
  • Automated resume parsing and candidate matching for internal hiring
  • Created an onboarding assistant to guide new hires through internal knowledge

3Predictive Analytics & Competitive Intelligence

  • Applied LLMs with reasoning capabilities for market trend forecasting
  • Automated due diligence of financial documents and contracts
  • Integrated survey data into real-time analytics dashboards
  • Built competitive benchmarking tools for tracking bids, wins, and competitor hiring
Outcomes

The Results

65% Faster Knowledge Discovery

Reduced time to find critical information by 65%, empowering consultants with faster access to the knowledge they need.

50% Less Document Preparation Time

Automated summarisation and drafting cut document preparation times in half, freeing consultants for higher-value work.

Data-Driven Competitive Insights

Enabled predictive forecasting and automated competitor benchmarking previously done manually.

Seamless Workflow Automation

Automated ingestion and indexing eliminated manual document handling errors and reduced operational friction.

Real-Time Q&A on Documents

Talk-to-docs functionality allowed consultants to ask questions directly, reducing research cycles from days to hours.

Built with

Tech stack

PythonLangChainAzure OpenAIRAG PipelinesSharePoint APIsKubernetesVector DatabasePower BI