AI-native CRM
A CRM that takes the shape of your business.
See a trend, identify the customers, launch a response, and monitor the result, all from the same conversation. OpenHouse turns customer data into decisions, and decisions into action, without waiting on analysts, engineers, or CRM specialists.
Scale customer engagement without scaling your team
OpenHouse turns campaign execution into leverage, not headcount: launch more lifecycle programs, shorten reporting cycles from days to minutes, and let generalist marketers do specialist CRM work.
- More lifecycle programs with the same team
- Campaign production, mostly automatic
- Reporting delivered in minutes
- Expert CRM work, done by generalists
- The execution capacity of a much larger CRM function
How OpenHouse works
- Revenue · by week
See a trend
Ask a question of your profiles and events and get the chart, with the definition behind every number. The agent watches performance and says what moved.
- Lapsed after two orders
Identify the profiles
A segment, a scoring model or a new field, built against your own data and checked against the field registry, so it is segmentable the moment it exists.
- Held for approval · Level 3Schedule “Win-back”Lapsing repeat buyers · Tuesday 09:00ApproveReject
Launch a response
A campaign or an automation, designed on your brand in the same conversation. Anything outward-facing or irreversible is held for a human approval first.
- Open rate62.4%Replies318Revenue€18.2kClick-through24.8%
Monitor the result
Opens, replies, conversions and revenue per campaign land on a dashboard you describe rather than build, and every action is on the audit trail.
Bring the question. The agent builds the segment, drafts the campaign and reports the result, and nothing outward-facing goes out without a human.
Expert guidance, not generic AI
An agent that understands CRM strategy, not just software commands. It watches performance and recommends what to do next, and explains its reasoning instead of hiding behind expert knowledge.
- Industry-specific lifecycle playbooks
- Recommended segments and journeys
- Checks for common CRM mistakes
it over, Ada?
You stay in control.
Decision-makers worry about an agent acting on customer data. Permission is not something the agent reasons about, it is handed a smaller menu, and nothing outward-facing or irreversible executes without a human.
Faster time to value
OpenHouse stores events and derives the rest, so a field the agent creates is segmentable now, with no migration and no long CRM transformation project first.
A dynamic CRM. Your audiences, campaigns and reports keep up.
Customer data, analysis and campaigns usually live with three vendors, and an agent cannot run an account whose pieces do. In OpenHouse they are one product, so a question becomes a segment becomes a campaign, in one conversation.
Customer data platform
Events from the shop, the app and payments land in one profile per customer. Attributes and segments are derived from them.
CRM with a design studio
Campaigns and automations run on those segments. Emails are designed in the same place, on the brand.
Self-service BI
Anyone on the team asks a question of the customer base and gets the chart. Dashboards are described, not built.
Let’s talk.
Access is by invitation. If your team already runs a workspace, an administrator there can invite you. Otherwise, request a demo and we will set one up with you.