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PLATFORM · THREE WORKERS, ONE EXECUTION CHAIN
Not three disconnected AI tools, but one digital workforce sharing customer context, playbooks, and governance.
End-to-end revenue execution across buyer research, personalized outreach, reply handling, and opportunity progression.
Built for ongoing operations: Workers run on structured playbooks, reusable skills, and institutional knowledge—unified with your data graph, governance, and inbox so execution is repeatable, observable, and measurable.
Use no-code logic, triggers, human gates, and models to build repeatable workflows.
Turn common business actions into reusable, versionable capabilities Workers compose and improve over time.
Train Workers with templates, SOPs, FAQs, product docs, and competitive intel.
Unify internal records, external data, and market signals into shared customer context.
Bring conversations, assignments, and channel collaboration into one operating layer.
Measure Worker output, conversion impact, incremental lift, and policy effectiveness.
THREE-WORKER EXECUTION CHAIN
Upstream findings become downstream action context. Every research, outreach, and progression step is recorded, replayable, and written back to shared customer data.
Buyer research & verification
Understands the target market, finds high-fit accounts and decision-makers, verifies contact data, and recommends evidence-backed angles.
HANDOFF TO THE NEXT STAGE
Personalized outreach & activation
Inherits Vera’s research context, creates personalized email, runs sequenced follow-up, and identifies intent in every reply.
HANDOFF TO THE NEXT STAGE
Opportunity progression
Takes over engaged conversations, plans next actions, coordinates human intervention, and keeps opportunities moving toward outcomes.
HANDOFF TO THE NEXT STAGE
One shared operating and governance layer
All three workers use the same customer memory and execution boundaries, so handoffs retain full context.
Outcomes write back to the data graph and CRM, continuously improving targeting, outreach strategy, and opportunity actions.
Start from the revenue motions you want to improve: acquisition, follow-up, qualification, progression, or renewal.
Use playbooks, skills, approvals, and org structure to define how work should run.
Import templates, SOPs, and product docs; connect CRM and external data sources.
Workers execute on CRM records, data signals, and live conversations.
Apply approvals, policies, and human gates to high-risk actions.
Track results, review decisions, apply policies, and continuously optimize workflows.
Single-purpose AI Agents can impress in demos—but when teams need consistency, governance, reuse, or cross-functional visibility, they often break down. SalesKeys is built so AI work holds up in real operations.
Teams starting with one Worker and planning to scale
Revenue teams that want consistent efficiency and follow-through
Cross-border teams that need richer data and workflow records
Organizations that want controllable AI execution—not black-box automation
