Solution / Business use case
More selling time. Less CRM admin.
Cleaner pipelines and better-prepared sellers: enrichment, routing, research and follow-up drafting.
Sales & Lead Operations
/ 01Challenge
What gets in the way today
Sellers spend a large share of their week on research, data entry and follow-ups. Leads wait in queues because routing rules are brittle, and CRM data decays because nobody has time to maintain it.
Generic AI writing tools add volume, not quality. What helps is AI that works from your CRM, your ideal customer profile and your playbook.
/ 02AI workflow
How the work flows with AI in it
Steps marked human are decision points owned by your people.
- 01
Capture
Inbound leads and meeting notes are captured from forms, email and calls.
- 02
Enrich
Company and contact data is enriched from approved sources and matched to existing accounts.
- 03
Qualify and route
Leads are scored against your criteria and routed with a short rationale.
- 04
Prepare
Account briefs and follow-up drafts are generated from CRM history and notes.
- 05human
Approve
Sellers review, edit and send; CRM updates are proposed for confirmation.
/ 03Example architecture
Signals in, governed outcomes out
A typical reference design. Your version depends on your systems, data and risk appetite.
- Web forms and inbound email
- CRM records and activity
- Call and meeting notes
- Approved enrichment providers
- Entity matching
- Scoring against ICP rules
- Brief and email drafting
- CRM update proposals
- Seller approval before sending
- Consent and opt-out checks
- Field-level write validation
- Audit trail of AI changes
- Routed leads
- Account briefs
- Approved follow-ups
- Cleaner CRM data
/ 04Benefits
What changes, and how you would measure it
Faster response to leads
Qualified leads reach the right person quickly with context attached.
Better preparation
Sellers walk into meetings with a concise brief built from your own data.
Healthier CRM
Updates are proposed automatically and confirmed in a click.
Measures we would agree with you
- Lead response time
- Meeting conversion rate
- Seller time on administration
- CRM field completeness
- Draft acceptance rate
We do not quote generic improvement figures. Targets are set from your measured baseline.
Limitations to plan for
- Outbound messaging must respect consent and marketing law in each jurisdiction.
- Enrichment providers vary in accuracy; matched data should be traceable to its source.
/ 05Product and service match
What we would use
Product concepts
- Product conceptWorkflow Automation HubAI steps inside dependable workflows: triggers, rules, models and approvals in one orchestrated flow.
- Product conceptAI Agent WorkspaceA governed workspace where AI agents take on multi-step work with people approving what matters.
- Product conceptAI Analytics CopilotAsk questions of governed business data in plain language and see the query behind every answer.
Services
- Service / integrateAI Workflow & CRM/ERP IntegrationBring AI into the CRM, ERP and service platforms where work already happens.
- Service / buildAgentic AI & Multi-Agent SystemsAgents that use tools to complete multi-step work, engineered with limits, approvals and evaluation.
- Service / adviseUse-case Discovery & ROITurn a long list of AI ideas into a few business cases you can defend, with baselines and success measures.
/ 07FAQ
Questions buyers ask
Will AI send emails to prospects automatically?
Not in our default design. Drafts are prepared for sellers to approve, which protects your brand and keeps you on the right side of consent rules.
Which CRMs can this work with?
Any CRM with a usable API, including Salesforce, HubSpot and Microsoft Dynamics.
Explore AI for sales & lead operations
Bring a sample of the work: tickets, documents, requests. We will show you what is realistic and how we would measure it.