Connect the data your business already uses. See which deals need attention, understand where sales get stuck, and choose the next action with your team.
Product preview only. Customer data is available only after authenticated connection and authorization.
Signal
A key stakeholder changed at an account with prior opportunity history.
Context loaded
Account, opportunity and relationship history
Evidence checked
Recent interactions, ownership and prior commitments
Capability used
Revenue context + governed investigation
Result
Re-engagement is worth reviewing with the account owner
Blocchino
This account is worth revisiting.
The recommendation is presented with the context used and stays separate from any action that would change a system of record.
Consequential actions remain subject to current permissions, previews and required human confirmation.
Switch the motion to see how Blocchi connects a real signal to business context, an explainable next move and governed execution.
Blocchi connects stage, interaction and account context before recommending what the owner should inspect next.
Signal
Late-stage activity drops below the expected pattern.
Load context
Bring in opportunity, customer and interaction history.
Explain the implication
Show why the silence matters for this deal.
Prepare the next move
Suggest a concrete follow-up path for the owner.
Operationalize it
A Play or Workflow can make the behavior repeatable.
Control execution
Governed Actions and Human Work decide what can run.
How Blocchi handles it
From stalled opportunity to governed follow-up
Context
Opportunity · account · interactions
Brain
Explains the risk and what changed
Execution control
Owner reviews before execution
Blocchi is designed to connect context, reasoning and execution without pretending every business system should move into one database.
Systems + signals
CRM, conversations, customer context, agreements and metrics
Data Foundation
Shared meaning, lineage and evidence; optional Data+ improves mastered identity
Blocchi Brain
Shared governed business context
Blocchino + Agents
Understand and investigate
Play + Workflow
Repeatable operating behavior
Governed Action
Preview, permission and approval
Systems of action
Execute through registered capabilities
Verified outcomes and current state feed the next decision instead of becoming a disconnected AI transcript.
The product separates shared context, reasoning, repeatable behavior and execution so each layer can evolve without collapsing into one opaque agent.
Shared governed business context that connects definitions, evidence and current state.
Understand, investigate and reason over the context a user or agent is allowed to use.
Turn useful behavior into a repeatable operating pattern using the existing Workflow runtime.
Execute through registered capabilities with permissions, previews, idempotency and approvals where required.
Data+ is separate
Data+ improves identity, mastering and context quality. It strengthens the Brain's inputs; it is not the Brain itself.
Blocchi can combine shipped product context providers without claiming every future source or signal already exists.
Commercial Model
How the company sells, packages and operates its revenue motion.
Brand + business context
Positioning and confirmed business context used by supported product flows.
Customers, people + opportunities
Canonical commercial entities and their relationships.
Interactions + commitments
Governed interaction evidence and explicit commitments where available.
Metrics + findings
Defined metrics, diagnostics and evidence-backed findings.
Revenue Plans
The current operating plan and its intended outcomes.
Play + Workflow state
Current repeatable behavior, workflow revision and execution state.
Optional Data+
Mastered identity and improved data context when Data+ is enabled.
This explorer is generated from Blocchi's public Integration Registry and only includes customer-facing providers currently marked available.
Marketing + analytics
Capabilities
2
Transport
Native adapter
Roles
Context source
Provider, maturity, transport, roles and capability count come from the same code registry used by the product.
These are implemented product behaviors and architecture boundaries, not customer testimonials or modeled ROI.
Mutations use registered Governed Actions and current actor authority instead of letting model output call arbitrary provider tools.
Findings, previews and action results can retain bounded provenance and current-state references rather than relying on narrative alone.
Conversational authoring compiles into the existing Workflow representation and runtime instead of creating a second automation engine.
A public explainer for the questions teams usually ask before they connect any data.
This is static public content. It does not open a customer session, inspect a tenant or send a prompt to private business data.
It organizes the governed business context Blocchi is allowed to use: supported entities, relationships, metrics, findings, commercial context, workflow state and evidence. What is available depends on the product capabilities and connected data a workspace has actually configured.
A Play is the business behavior you want to repeat. A Workflow is the technical execution representation underneath repeatable automation. Blocchi keeps the business intent and runtime mechanics related without treating them as the same thing.
Only within the authority currently granted to the actor or automation identity and the policy attached to the registered action. Consequential actions can require previews, confirmation, approval or Human Work, and unsupported actions fail closed.
No. Data+ is optional. It improves mastering, identity and context quality where those capabilities are needed, but Blocchi Revenue and Brain are not defined as Data+.
Not by default. Blocchi can use native Revenue records and supported external systems. The product is designed to coordinate context and governed action across systems rather than requiring every system of record to be replaced.
Agents operate inside explicit tenant, capability, source, data and risk boundaries. Runtime checks revalidate authority before actions, and model output cannot grant new permissions to itself.
Start with the product, connect only the systems you choose and keep humans in control of consequential execution.