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Generative AI Solutions

Enterprise AI Assistants

We build and deploy intelligent AI assistants tailored to your organization. Unlike generic chatbots, our enterprise assistants are strictly grounded in your internal documents, policies, and CRM data, empowering employees to query information instantly while adhering to strict RBAC security models.

Internal ToolingSlack/Teams IntegrationRAG-PoweredEnterprise Security
2.5 hrs
Saved Weekly
Average time saved per employee on information retrieval and summarization.
0 Data Leaks
Security
Strictly enforced document-level permissions inside the vector store.
Expert Led
Arsalan Abbas
Enterprise AI Architect
Microsoft PartnerEnterprise Grade
Capabilities

Core Features

Omnichannel Integration

Deploy your assistant directly into Slack, Microsoft Teams, internal portals, or as a standalone secure web application.

Role-Based Access Control

Integration with Okta/Active Directory ensures the AI only references documents the specific user has permission to read.

Live Data Connections

Connecting the assistant to real-time APIs (Salesforce, Jira, ServiceNow) to fetch live data or trigger actions on command.

Verifiable Citations

Every answer generated includes direct links to the source documents or wiki pages, ensuring complete transparency and trust.

Implementation

Our Process

01

Knowledge Discovery & Security Mapping

Week 1

Auditing your internal data silos (Confluence, Google Drive, SharePoint) and defining the IAM security requirements.

02

Ingestion Pipeline Development

Week 2-3

Building secure, scheduled ETL pipelines that extract, OCR, and embed your internal documents into a vector database.

03

Assistant Logic & Prompt Engineering

Week 4-5

Designing the system prompts and multi-turn conversation memory so the assistant understands company-specific jargon and context.

04

Channel Integration

Week 6

Developing the Slack/Teams bots or custom UI where employees will interact with the assistant.

05

User Acceptance & Rollout

Week 7-8

Soft-launching to a pilot group, tracking query failure rates, and optimizing the retrieval pipeline before full deployment.

Tech Stack

Technologies We Use

Azure OpenAI / Bedrock
Secure LLM Hosting
LangChain
RAG Orchestration
Slack / Teams APIs
Interface Integrations
Milvus / Pinecone
Vector Store
Auth0 / Azure AD
Identity Provider
Common Questions

FAQ

Is our data secure? Will employees see things they shouldn't?

Can the assistant take actions, or just answer questions?

How often is the knowledge base updated?

Ready to Innovate?

Accelerate Your Business with
Enterprise AI Assistants

Book a free strategy call. We'll scope the exact requirements for your use case and walk you through our implementation approach.

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