Customer Intelligence
One record per customer: what they did, what they agreed to, and when and where to reach them. Six condition families, the audience size before you save, Champions to Lost maintained for you.
AI-assisted customer engagement
Bring customer data, AI-assisted analytics, journeys and messaging together. Understand customer behaviour, reach people across six channels, and measure the outcome, from one platform.

Your appointment is tomorrow at 10 AM. Does that still work for you?
Built for what matters
The same platform, a different first move. Pick a sector to see the capabilities its teams lean on, each one a page you can read.
See the capabilities behind each use caseVerify a transaction
Guide the first top-up
Help book the follow-up
Resolve delivery details
Continue an application
Offer an available upgrade
Reconnect with a member
Confirm a cash order
Connect the pack to a Story
Keep donors connected
Illustrative use cases. Explore each sector to see the capabilities and prerequisites.
Start with the customer outcome that matters most to your team. Each goal page shows the capability behind it, the prerequisites and a journey you could ship in the pilot.
The application left at the documents step, the checkout never paid, the sign-up that stopped. A rule catches what did not happen, one message follows on the channel they answer, and the journey stops when they finish.
Read the goal →See reach and estimated cost before a send, keep each traffic type on its own route, and let fallback advance on a carrier failure rather than a timer. Your own provider contracts stay in place.
Read the goal →Every message keeps its route, attempts and outcome on one record with the behaviour that followed. Report what a campaign was observed to change, what your attribution rules credit, and what a comparison supports.
Read the goal →A journey variation used to restart a sprint. Now it is an edit, made by the team accountable for the result.
Every run is recorded node by node, with what the journey knew when it decided.
One record per customer: what they did, what they agreed to, and when and where to reach them. Six condition families, the audience size before you save, Champions to Lost maintained for you.
Ask in plain language and get a live answer, checked before it runs. Boards, funnels, metric trees and sessions over one dataset, so the tool that finds the problem also tells you whether you fixed it.
Full-screen, tappable content in your live app. No release.
24 blocks. Waits for the customer, branches, calls your systems.
Six channels, one routing layer, one record. Push on our own network.
Reach and cost known before you press send. Each contact's local time.
Define which events count as a conversion and what each is worth. Every campaign and journey is measured against them, against a baseline, not opens. The result lands back as an event, and the loop runs again.
Four agents, each with a named job, plus a Story generation pipeline. Every proposal shows its working; you accept or reject each item.
When a carrier degrades at 2pm on campaign day, the fix is yours to make, not a vendor's ticket.
The investment landed on storage and reporting. The last mile, from insight to a customer, was never built.
Three queues stand between an observation and a customer contact. The person with the question raises a request and waits days for an answer. The answer becomes an engineering project: a spec, a sprint, a release. And once the journey is live, every correction runs through somebody else's queue again.
So teams ship few journeys and change them rarely. That is the opposite of what behavioural data rewards.
A demo comes first. If it is worth going further, the pilot is one journey, shipped and measured, not a migration and not a channel consolidation programme.
How the pilot works →YOUR TEAM DRIVES →
| Weeks | What happens | Exit condition |
|---|---|---|
| 1–2 | Turn on event capture. Agree the baseline metric. | Events arriving, schema visible, baseline recorded. |
| 3–4 | Build audiences. Ask real questions. | Your team is querying without help. |
| 5–6 | Build and test the journey. Dry-run and preview. | Journey approved, execution traces reviewed. |
| 7–8 | Run live against the audience. Measure. | Result compared to baseline, decision made. |
Your business team drives from week 3. Scope and timing are agreed around your integration and approvals.
If it fails to beat the baseline, that is a real answer, and worth having in eight weeks rather than after a platform commitment.