AI agents work with your inventory, customer data and business logic to move customers from intent to checkout, and teams from ticket to resolution. Built on experience from products used by 30M+ users every day.

Book a 30-minute concept call

Turn your app into an AI action layer

Most apps tell. Few apps act

Customers expect apps to do the work, not just present options. That requires context: live inventory, account state and business rules. When AI is layered on top of a rigid app, it often lacks both the relevance and the ability to act.

Workflow

Static menus & decision trees

Slow paths to no answer.

AI

Generic chatbots

Fluent, but disconnected from your data.

notification

Read-only AI

Fluent answers, but no ability to act in your systems.

Context turns AI from a chatbot into an agent

A shared intelligence layer across your digital ecosystem

The Framna Intelligence Layer builds on your existing infrastructure, acting as a connected system that brings together data, logic, and interaction. Its Foundational Agentic Engine is designed to work within your environment. Secure, fast, and aligned with your brand.

Generative UI

Moving beyond text. Our engine renders buttons, sliders, product cards, and checkout flows inside the conversation, turning intent into a single tap.

Grounded in your data

The agent retrieves only from your secure internal systems; live inventory, customer state, policy documents. No web fallback. Confidence-thresholded handover to a human when uncertainty is high.

Business-rule orchestration

The engine executes within your compliance, pricing, and approval logic. Every action is logged, auditable, and reversible.

One engine. Three outcomes

Commerce — convert intent into shoppable carts.

Revenue ↑

Service — resolve tickets inside the chat, with action.

Cost ↓ / NPS ↑

Operations — give every employee a single interface to your stack.

Productivity ↑

All on the same architecture, all grounded in your existing systems.

Commerce Agents

From intent to a one-tap basket. The Commerce Agent reads your live inventory, understands the customer's goal, and renders a shoppable result in-chat.

Commerce Agent examples

DIY AI agent demo

DIY Agent

Types a project, gets every part in a one-tap basket. 15 minutes of shelf-hunting, turned into one tap.

Personal expert AI agent demo

Personal expert (Health & Beauty)

In-aisle symptom triage and shelf navigation, with a smart private-label switch. Attach rate: single digits → 30%+.

Groceries AI agent demo

Grocery Agent

A 7-day budget menu with swaps and an in-store walking route. Meal planning: 25 min → 90 sec.

Service Agents

From ticket to resolution. The Service Agent works with live account state and policy rules to resolve requests by taking action directly in the chat.

Service Agent examples

Utility Expert AI agent demo

Utility Agent

Untangles an angry bill complaint with live meter data and a one-tap plan switch. 12-minute call → 45 seconds.

Car rental AI agent demo

Car Rental Disruption Agent

Tracks delayed flights and offers stranded customers a smart-key upgrade before they land. €25–40 upsell per booking.

E-Bike AI agent demo

E-Bike Companion

Vision AI diagnoses a sensor failure from a photo and guides the fix in-app. €150 maintenance visit avoided.

Operations Agents

From manual work to executed action. The Operations Agent reads your live data, applies your business logic and executes tasks across your existing back-office systems.

Operations Agent examples

WMA AI agent demo

Workforce Management Agent

Compliant shift swaps inside WhatsApp — labor laws, overtime, skill match, all autonomous. 4 hours → 4 minutes.

Insurance Claims AI agent demo

Insurance Claims Agent

Triages a complex claim in seconds; the human approves, the agent drafts the email. 45 min → 1 min.

Integration matters

AI often fails at the point of integration, not the model itself. For over a decade, our teams have connected modern apps to systems like SAP, AS/400 and custom WMS or POS platforms. The same approach applies here. AI needs to work within your existing stack.

Workflow

Experience in middleware and system integration

We build the layers that connect modern applications to existing systems.

Team Leads

Applied in applications with millions of users

Architecture used in products with millions of daily users.

Blocks

Integrated into existing product experiences

AI output is designed to fit naturally within your existing product and brand.

SecurityV2

Security and control

Built around your data and systems.