Answers from your own knowledge
Trained on your documents, help pages and past resolutions, so every answer matches how your business actually works.
Enterprise AI, already running in production
AI agents and assistantsbuilt into the systemsyou already run
Identie builds customer support AI, product search and autonomous agents that work inside your CRM, helpdesk and catalog, so every conversation and every task is handled the way your business actually works.
✓30 minutes, technical, no pitch deck.
Customer support
Live support thread
My order hasn't arrived and I need it before Friday.
Order #4821 shipped Tuesday and is due Thursday. I've flagged it as time-sensitive with the carrier and opened ticket SUP-2214.
Can someone call me?
Booked - your account manager will call at 14:30. Everything from this thread is attached.
What it does
- Trained on your documents and past resolutions
- Reads and writes CRM, ticketing and order systems
- Escalates by email, WhatsApp or phone with context
- Transcripts, analytics and a full audit trail
Built into the systems you already run
- Salesforce
- HubSpot
- Dynamics
- Zendesk
- Intercom
- Shopify
- Wix
- SAP
Customer support AI
An AI agent that answers your customers properly
Trained on your documents and past resolutions, it resolves the repetitive majority of support in 28 languages and hands the rest to your team with the whole thread attached.
Works inside your systems
Reads and writes CRM, ticketing and order systems, so it can look up an order or open a ticket instead of only replying.
Hands over with context
When a person is needed it escalates by email, WhatsApp or phone, with the full conversation already attached.
AI product search
Search that understands what shoppers mean
Shoppers type the way they think. This reads the request, turns it into your catalog's own terms, and returns real products with the right variant, stock and price.
Plain language in
No exact keywords needed. A shopper describes what they want, the way they would to a person in a shop.
Your catalog's terms out
The request is resolved into the categories, attributes and options your catalog already uses.
Real products, never guesses
Every result is matched against live stock, variants and pricing, and carried through to the cart.
AI agents
Agents that finish the work, not just the reply
An agent runs a whole process end to end inside the rules you set, reads and writes your systems, and stops only on the exceptions you define.
Whole workflows, completed
Qualifying, quoting, booking, updating records, following up. If a person follows a checklist, an agent can usually follow it too.
Rules you control
You define where it must not proceed, such as a price floor or an approval threshold. Outside them it stops and hands over.
Every step logged
Each action is written down as it happens, so any run can be checked step by step afterwards.
Custom AI systems
AI integration
Built for your business, connected to everything it runs on
When no product fits the problem, we build the system for it. And none of it works without the integration underneath, so that is where we start.
Custom AI systems
Document extraction, forecasting on your own history, internal copilots on private data, and decision support that shows its working.
Learn more →AI integration
Connectors into the CRM, helpdesk, catalog and ERP you already run. Nothing migrated, every system stays the system of record.
Learn more →Security and ownership
Your data serves your deployment only. You choose residency and retention, and you own what we build.
Learn more →Integrations
Works with the tools you already use
We connect to what you run instead of asking you to move. If it has an API, a database or a file store, we can usually reach it.
- Salesforce
- HubSpot
- Dynamics 365
- Zendesk
- Intercom
- Shopify
- Wix
- SAP
- Internal APIs
- Databases
- File stores
- Custom catalogs
How an engagement runs
Every project follows the same four stages, so you always know where you are and what comes next.
01
Discovery Week one
We map where AI would actually earn its place - which processes, which systems, which data. Usually a week, and it produces a written scope rather than a proposal deck.
02
Integration design Before any build
How it connects to your CRM, catalog, ticketing or ERP, what data moves and where it stays. This is the part that decides whether the build succeeds.
03
Build & pilot A few weeks
We adapt proven systems to your case and run them on real traffic in a controlled scope, so you see actual behaviour before committing further.
04
Production Ongoing
Full rollout with monitoring, and ongoing tuning as your catalog, documentation and processes change. The system stays yours.
Questions
Before you get in touch.
An off-the-shelf tool solves the general version of a problem. Most of the value in an enterprise deployment sits in the specifics - your catalog structure, your escalation rules, your CRM schema, the exceptions your team knows about and a generic product doesn’t. That integration work is what we do, on top of engines already proven in production.
Both, depending on the problem. Where our existing systems fit, adapting them is faster, cheaper and lower risk than starting over. Where they don’t, we build for the case. We’ll tell you honestly which situation you’re in during discovery.
Discovery is usually a week. A pilot on real traffic typically follows within a few weeks of scope being agreed. Integration access is almost always what sets the timeline, not the AI.
It serves your deployment and nothing else - never pooled into a shared model. You choose residency and retention, and can run in a private or VPC environment. Every conversation and agent action is logged for audit.
Yes, and we’d encourage it. A narrow pilot on one process or one product line tells you more about fit than any proposal, and gives your team something concrete to react to.