HALTUNG decision engine
← Practical AI agents
Applied AI operating service / Marketing and customer communication
Turn customer context into the right next conversation.
The agent combines HALTUNG decision logic, a shared bCRM customer view and your communication channels. It responds, clarifies needs, follows up and knows when a person should take over.
01 / Die Herausforderung
AI sales & customer communication agent
Customer information and conversations are often split between inboxes, phones, notes and CRM records. Repetitive follow-up consumes time, while a message without the full context can easily be irrelevant or poorly timed.
Der technische Ansatz
The customer record, conversation history, offer and agreed communication principles form one decision context. HALTUNG chooses whether to write, call, send an SMS, wait or escalate. Every new response updates the next decision and remains visible to the team.
02 / Decision, context and communication in one system
Decision, context and communication in one system
The agent combines HALTUNG decision logic, a shared bCRM customer view and your communication channels. It responds, clarifies needs, follows up and knows when a person should take over.
Communication channels
Two-way hMailServer emailEstonian and English AI callsPersonal Android SMS gatewaybCRM customer context
Business-system integrations
bCRM customer workspaceWebsite research and Estonian Business RegisterCalendars, lead sources and existing business systemsHALTUNG decision engine
- Who to contact and for what purpose
- Which channel suits the next step
- What to answer or clarify
- When to follow up, wait, stop or escalate
bCRM customer context
- Company, contacts and roles
- Offers, needs and conversation history
- Emails, call transcripts and SMS messages
- Team notes, agreements and open questions
03 / Published examples from comparable work
Published examples from comparable work
Independent examples show where similar tasks have produced measurable value. These are not BitMinistry references or promises of the same result.
01CMA CGM
An AI voice agent contacted registered prospects, clarified shipping needs and identified sales opportunities.
More than 4,000 contacts; about one third reached an active route discussion.
The measure is discussion reached, not closed deals or revenue; the campaign period was not published.
Read source ↗02Greenhouse
An AI agent handled web conversations, continued by email, qualified interest and arranged meetings.
15,000 conversations, 2,000 meetings and USD 4 million in won revenue attribution during the first year.
Publisher attribution; the source does not disclose the calendar dates or a complete incremental cost model.
Read source ↗03Pittsburgh Pirates
An AI agent reactivated ticket prospects and previous fans, then handed meaningful opportunities to sales staff.
325% growth in revenue attributed to Conversica by 2024; conversion improved by four percentage points in year one.
The source does not disclose the precise comparison base or total cost, so this remains a supplier-published campaign result.
Read source ↗The figures describe the named deployment and the measurement disclosed by its publisher. A scoped pilot must establish the applicable baseline, quality threshold, operating cost and business result in your own environment.
04 / Human review and escalation
Your team defines the operating boundaries
- 01You define the offer, goals and communication principles
- 02The team can inspect decisions, change guidance and take over
- 03Customer preferences, agreed times and refusal remain binding