Solutions

AI applied to the work that runs your business.

We combine AI agents, automation, integrations and data around specific operational problems — from customer operations and sales to knowledge, analytics and back-office workflows.

Solution areas

Start with the business problem.

Technology is only useful when it improves how work gets done. Our solutions are organized around operational needs rather than individual AI tools.

01

Customer Operations

Use AI to handle repetitive customer interactions while connecting conversations to the systems and workflows required to resolve real requests.

Example use cases

Customer support, booking assistance, request triage, case handling, follow-ups and service operations.

02

Sales & Revenue

Support commercial teams with AI-driven research, qualification and workflow automation across the sales process.

Example use cases

Lead research, enrichment, qualification, outreach preparation, CRM updates and opportunity follow-up.

03

Finance & Administration

Reduce repetitive administrative work by connecting documents, data and business rules to controlled automated workflows.

Example use cases

Document processing, invoice workflows, data extraction, reconciliation support and administrative automation.

04

Knowledge & Documents

Make business knowledge easier to find, understand and use across documents, policies, internal systems and operational information.

Example use cases

Enterprise search, document analysis, internal assistants, policy Q&A, summarization and knowledge retrieval.

05

Data & Decisions

Connect trustworthy business data with analytics and AI so teams can ask better questions and act on useful information.

Example use cases

Analytics assistants, semantic layers, reporting automation, operational insights and decision support.

06

Operations

Coordinate multi-step operational work across people, AI agents and existing systems with observable and controlled workflows.

Example use cases

Workflow automation, task coordination, exception handling, capacity workflows and cross-system operations.

Our approach

Problem first. Technology second.

We begin with the workflow and measurable outcome, then determine the agents, integrations, data, context and controls required to deliver it.

01
Understand the operational problem
02
Design and implement the system
03
Operate, measure and improve
Have a workflow in mind?

Show us where work is slow, repetitive or fragmented.

We can assess the workflow, identify where AI and automation make sense, and design an implementation around your existing systems.

Talk to Fanya Labs