01Scraped context
Agents infer structure from HTML.
They read pages like crawlers, miss business rules, and may work from stale or partial information.
AI agents can call your site. Not just scrape it.
The problem
Scraping is not an integration strategy.
As AI agents become part of buying and operations, websites need controlled interfaces that expose what agents are allowed to know and do.
02No safe actions
The website has no callable front door.
An agent can recommend a meeting, but it cannot safely check availability, submit a contact, or route a request.
03No boundaries
Access is either too open or missing.
Agentic workflows need scoped keys, PII masking, rate limits, and audit logs before they touch real systems.
What we build
Discovery, permissions, actions, and proof.
The infrastructure that makes agent workflows useful in production: callable skills, guarded writes, fresh events, and logs your team can inspect.
01Build
Machine-readable discovery
Agent cards, well-known routes, and API contracts let approved agents understand what your platform can do.
domain → agent card → callable skills
02Build
Typed business skills
Content search, FAQs, services, availability, booking, contact capture, or Relationship Intelligence workflows become callable capabilities.
skill + params → structured result
03Build
Scoped agent keys
Each agent can receive its own permissions for collections, tools, operations, expiry, and rate limits.
agent key → scope → enforced access
04Build
PII masking and privacy records
Personal fields stay masked unless an agent is explicitly allowed to see or process them.
no PII scope → masked fields
05Build
Signed event webhooks
Agents and automations react when content, forms, meetings, or Relationship Intelligence records change, without polling stale data.
event → signed webhook → retry
06Build
Agent audit trail
Reads, writes, task calls, webhook delivery, authentication checks, and rate limits are logged for review.
who + what + target + status
Controlled execution
Agent actions should be scoped, fresh, and reviewable.
The value is not that agents can do anything. It is that approved agents can do specific useful things, with boundaries your team controls.
agent workflowaudited
1
Agent discovers capabilities
Reads the agent card and available skills.
2
Scoped task submitted
Uses a key limited to booking and contact capture.
3
Approved workflow runs
Checks availability, creates contact, books meeting.
4
Events and audit written
Webhook delivered and the action stored in the audit log.
Build with Alapan
An agentic interface, built into your platform.
Bring us your content, Relationship Intelligence, booking workflow, privacy rules, and agent use cases. We map the callable interface and build it with the right boundaries.