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Automation & AI

AI Solutions & AI Agents

Task-specific AI agents that read documents, summarize inquiries, draft replies, and triage data.

Practical AI implementations built directly into your operations—including document data extraction, customer intent classification, and intelligent drafts.

Who it is for

Built for teams like yours

Companies handling high-volume text, invoices, resumes, or customer queries that require rapid comprehension.

The problem we solve

Teams are overwhelmed reading long PDFs, sorting customer inquiries, and writing repetitive responses manually.

  • Staff read and re-type information from documents and emails.
  • The same customer questions are answered by hand all day.
  • AI experiments produce answers nobody can check.

What we deliver

What you get

  • Intelligent document processing (OCR + structured JSON extraction)
  • Automated lead qualification and sentiment analysis agents
  • Internal knowledge base retrieval (RAG) for SOPs and policies
  • Supervised AI drafting for customer support and quotation requests

Typical use cases

Where it helps

  • Extracting vendor invoice line items directly into accounting software
  • Screening inbound job or student admission applications against criteria
  • AI assistant providing instant internal policy answers to staff

How we work

From audit to launch

Every project follows the same steps, with a written, fixed quote before any work begins.

  1. 01

    Free audit call

    We look at how the work is done today and where time or leads are lost.

  2. 02

    Written proposal

    Scope, timeline and a fixed price in writing, before any work starts.

  3. 03

    Design and build

    Built in short stages, with a preview you can review at each one.

  4. 04

    Test and handover

    We test real scenarios, including failures, then train your team.

  5. 05

    Launch and support

    Go live with monitoring, and a support period included in every package.

Examples and proof

See how it works

We have not published a client case study for this service yet. The examples below are clearly labelled demos and reference builds, and we can talk through relevant past work on the audit call.

Interactive workflow preview • ILLUSTRATIVE REFERENCE BUILD

ILLUSTRATIVE REFERENCE BUILDAI & Document Automation

Autonomous Document Extraction & Contract Verification Pipeline

Click a step to see what it receives and sends.

Non-visual workflow sequence for Autonomous Document Extraction & Contract Verification Pipeline:

  1. Step 1: Document Ingestion Trigger (File Trigger). Detects new PDF upload via inbox webhook or S3 bucket event.. Integration: Google Drive / S3 Webhook.
  2. Step 2: OCR & Text Normalization (Vision Pre-Processing). Converts scanned image layers to clean Markdown & tokenized text.. Integration: Tesseract / AWS Textract.
  3. Step 3: LLM Structured Entity Extraction (Cognitive Parsing). Extracts critical clauses, financial terms, dates, and liability amounts into typed JSON.. Integration: GPT-4o / Claude 3.5 Sonnet.
  4. Step 4: Confidence & Rule Validator (Quality Gate). Verifies confidence >= 0.95 and confirms all mandatory clauses exist.. Integration: Zod Validator.
  5. Step 5: ERP & Legal DB Archival (Database Insertion). Writes structured contract terms to PostgreSQL with cryptographic SHA-256 hash.. Integration: PostgreSQL / Supabase.
  6. Step 6: PII Redaction & S3 Storage (Security & Compliance). Redacts sensitive banking coordinates and saves secure encrypted PDF.. Integration: Private Vault Storage.
  7. Step 7: Slack & Email Audit Dispatch (Notification). Notifies legal counsel with 1-click summary card and direct record link.. Integration: Slack Bot API.
Simulated run time: 2.10s
Controlled AI Contract Extraction & Compliance Validation Pipeline
AI / Document AutomationILLUSTRATIVE REFERENCE BUILD
Legal AI Reference Build (Illustrative Scenario) · Legal, Risk & Compliance

Controlled AI Contract Extraction & Compliance Validation Pipeline

Engineered an enterprise-grade document extraction pipeline that ingests complex PDF agreements, extracts key clauses with confidence scoring, and routes anomalies for human review.

Reviewed
Low-confidence fields
Typed
Extracted data
Encrypted
Archive
Next.jsClaude 3.5 SonnetOpenAI APIn8n+4 more

Tools we typically use

  • OpenAI / Anthropic APIs
  • LangChain
  • pgvector
  • n8n
  • Next.js

Questions

AI Solutions & AI Agents: common questions

How do you stop the AI from making things up?

Answers are grounded in your own documents, outputs are validated, and anything below a confidence threshold goes to a person for review.

Is our data used to train AI models?

We choose AI providers and settings that do not use your data for training, name them in the proposal, and keep sensitive fields out of prompts where possible.

How is the final price decided?

All prices are starting prices. You get a written, fixed quote after a free audit call before any work begins. Indian clients: prices exclude 18% GST. International clients are billed in USD.

How are payments split?

Project payments: 50% to start, 50% on approval before launch. Larger projects can be split by milestone.

Who owns the work?

You own your website, content and workflows once the project is paid in full.

FREE AUDIT CALL

What are you doing manually? Let’s automate it.

Tell us what your team currently does manually. We'll map where automation can remove friction, cut spreadsheet copy-pasting and speed up replies.

Full Process Audit
Custom Blueprint
Time-saving estimate
No obligation • Confidential • You speak directly with the people who build