The problem
Prospecting often means searching dozens of accounts to find one useful signal. That creates a familiar problem: the team spends hours preparing lists, while the moment to contact a company passes. More data does not solve that. Better timing does.
The first step is not buying a tool. It is understanding where the current process breaks, what a good handoff looks like, and whether the work is common enough to make automation worthwhile. That keeps the project focused on a real business problem instead of a vague request for more AI.
What gets built
We start with your definition of a useful signal. It may be a hiring change, new role, funding event, location expansion, technology change, or a combination. The agent collects supporting context, explains why the account was flagged, and leaves the final decision with a person.
Before anything touches your customer data or live systems, we use realistic sample data to test the workflow. You see what the agent receives, how it reaches a decision, what it sends, and where a person can take over. That gives you control over the rules before the system is live.
A relevant result
For a recruitment agency, agents spot roles posted in the last 24 to 48 hours, identify the hiring manager, and draft a message specific to that role. The agency reported a 70% reply rate on that outreach.
Every business starts in a different place. These examples show what changed in a specific situation, not a promise that the same outcome will happen everywhere. The useful question is whether your process has a similar bottleneck and enough value to justify a build.
How it works
- 01. Define the buying signals that matter to you.
- 02. Choose reliable public sources and required account context.
- 03. Test results against accounts your team already knows.
- 04. Tune the filter and reporting cadence around real feedback.
Security and control
You keep the keys. We test on sample data first, keep credentials encrypted or inside systems you control, and put a person in the approval loop for risky actions.
The build, prompts, and data remain yours. If a workflow sends messages to clients, deletes information, moves money, or takes another consequential action, it should wait for approval. Read more about how BORSTEV handles credentials and human review.
Pricing
Builds start from $2,000 one-time. The data sources, signal logic, and review process are scoped first.
A free 30-minute discovery call is the place to decide if the business case is real. If it is not, I will say so. If it is, you get a clear recommendation and the reasoning behind it.