How does BackEngine work?
BackEngine connects to your existing systems, prepares your customer and prospect data, and makes it available to AI under your company’s access rules.
Here’s what happens between connecting your tools and getting a useful answer.
You choose which data to connect
Connect the systems where your customer and prospect information already lives: your CRM, calls, email, messages, and support tickets.
You decide which accounts and information to include. We help configure the connections and access rules around your business.
Your team keeps working in its existing tools.
BackEngine cleans and joins the records
Customer information arrives in different formats, with duplicate records, long email threads, and inconsistent names.
BackEngine removes noise and duplicates, matches people and accounts across systems, and connects related conversations and records.
A prospect’s sales call, follow-up email, and CRM record become connected parts of the same relationship.
We organize the information so AI can use it
BackEngine organizes customer information by account, person, topic, time, and signals such as urgency or sentiment.
That preparation gives your AI ways to find the relevant evidence for questions like:
- What objections has this prospect raised?
- Which customers reported this product issue?
- What commitments have we made to this account?
The information is prepared before someone asks, with links back to the supporting sources.
We apply the asking person’s access rules
When someone asks a question, BackEngine controls which customer knowledge they can receive.
Access can depend on the accounts they’re allowed to see, the sensitivity of the information, and whether they can receive approved insights, underlying sources, or both.
For example, an account owner may be allowed to review a customer’s emails, while a product teammate receives an approved insight about a product issue without access to those emails.
Your company defines those boundaries.
Your AI puts the authorized context to work
Your team asks questions inside supported AI tools such as Claude and ChatGPT.
BackEngine supplies relevant, authorized customer context. The AI uses it to prepare a meeting brief, investigate an account risk, review pipeline, or analyze product feedback.
People with the appropriate access can follow the supporting sources to understand where the information came from.
You can use that context in recurring workflows
Once a useful workflow is established, it can run on a schedule.
Prepare for upcoming meetings each morning. Review customer risks each week. Bring recent prospect objections into a regular pipeline review.
Scheduled workflows use the same governed customer knowledge, with the access rules configured for that workflow.
The customer knowledge keeps updating
As new information arrives from your connected systems, BackEngine processes it and updates the related customer context.
Refresh timing depends on the source and integration. The knowledge continues to develop as conversations happen, issues change, and relationships progress.
Your team can build on that maintained history each time it uses AI.
Connect the customer data you choose. BackEngine cleans, joins, organizes, and maintains it—then supplies the context each person is authorized to use in AI.