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Solution

Custom AI Assistants & Copilots

AI that works the way your team does — not the other way around.

Overview

What this solution is

Generic AI tools require your team to adapt to them. Tesseraz builds AI assistants and copilots designed around your specific processes, data, terminology, and operational constraints — so adoption is immediate and value accrues from day one.

Common challenges

Business problems this addresses

  • Generic AI tools produce generic, unusable output
  • Teams waste time re-prompting and correcting AI responses
  • AI does not understand company-specific context or terminology
  • Sensitive data cannot flow through public AI tools
  • No audit trail or control over AI-generated outputs

Capabilities

What we build and deliver

  • Custom model configuration and fine-tuning
  • Company-specific knowledge integration
  • Role-based assistant personas and access controls
  • Multi-step task orchestration and guided workflows
  • Integration with internal tools (CRM, ERP, ticketing, docs)
  • Audit logging and output review workflows
  • Streaming interfaces and embedded UI components

Use cases

How clients apply this solution

Legal Team Drafting Copilot

A 40-person in-house legal team needed AI that understood their contract templates, approval workflows, and jurisdiction requirements. We built a drafting copilot that reduced first-draft time by 60% while keeping all data within their infrastructure.

Sales Intelligence Assistant

A B2B software company wanted AI that could brief account executives before customer calls using CRM history, product usage data, and industry news. The assistant now auto-prepares call briefs and flags renewal risks.

Engineering Onboarding Copilot

A fast-growing SaaS company reduced new engineer ramp time from 6 weeks to 3 by deploying an onboarding copilot trained on internal documentation, architecture decisions, and codebase context.

Delivery approach

How we deliver this solution

01

Scoping

Identify the workflow, user, and key use cases

02

Design

Define assistant persona, capabilities, and guardrails

03

Build

Model configuration, knowledge integration, and interface

04

Testing

Internal review, edge-case validation, and output quality gates

05

Deploy

Rollout plan, user training, and feedback loop setup

Ready to explore Custom AI Assistants & Copilots?

Let us understand your situation and design the right approach for your organization.

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