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Enterprise Workflow Automation Hub

Connected CRM, email, spreadsheets, documents, and approval flows into a unified automation layer with AI-generated task summaries.

AI AGENTS
12 hrs/week
saved per delivery manager
100%
actions audit-logged
3x
faster approval cycles
The challenge

What the client was facing

A consulting firm's delivery managers spent half their week stitching together CRM updates, email threads, spreadsheets, and approval flows — a coordination tax that slowed every engagement.

What we built

The solution

  • Central automation hub orchestrating Salesforce, Outlook, Sheets, and SharePoint
  • AI-generated daily task summaries per project per role
  • Rule + LLM hybrid for routing approvals, escalations, and reminders
  • Audit trail and undo for every automated action
In production

What it looks like

Illustrative screens — actual client UI, branding, and data redacted under NDA.

Enterprise Workflow Automation HubOverview82%Accuracy3.2kItems12Today4.7ScoreTrend
Enterprise Workflow Automation Hub — analytics 1 2 3 4 5 6 7 8class ClaimsExtractor: def __init__(self, llm, schema): self.llm = llm self.schema = schema def extract(self, document): prompt = self.build_prompt(document) raw = self.llm.complete(prompt) return self.schema.validate(raw)AI suggestion ▸
AI-first delivery angle

Why AI-first mattered here

The LLM proposes; the rule engine disposes. AI suggests routing, drafts updates, and summarises threads — but every state change is governed by deterministic policy code.

Technologies

Stack

Node.js n8n OpenAI Salesforce API Microsoft Graph PostgreSQL

Have a similar problem to solve?

Book a free 30-minute call with a senior engineer. We’ll tell you honestly whether AI-first delivery is the right fit — and what a realistic engagement would look like.

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