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Meet your AI Front Office

Knowledge Manager

Keep services, pricing, policies, hours, FAQs, and temporary updates accurate for every AI Employee.

Managed by SochalitShared knowledgeHuman escalation
Knowledge ManagerVerified business information for every AI Employee
MissionKeep the AI Front Office accurate, current, controlled, and easy to review.
StatusShared intelligence layer
Connected toolsSources, versions, approvals, effective dates, access rules
Human handoffConflicts, expired information, or missing answers
Responsibilities

What the Knowledge Manager is responsible for.

1

Organize

Classify public, internal, restricted, and temporary knowledge.

2

Govern

Track sources, owners, approvals, effective dates, and versions.

3

Distribute

Make approved changes available to the correct roles and channels.

Workflow

How work moves through the role.

SourceBusiness information
DraftStructured update
ReviewOwner approval
PublishRole access
MonitorUnknown questions
Business value

Designed to improve the customer journey—not just answer messages.

1

One source of truth

Receptionist, sales, support, and voice use the same facts.

2

Faster updates

A published change reaches every permitted role.

3

More trustworthy AI

Unknown and conflicting information is visible for review.

Guardrails

Clear boundaries and accountable human control.

Designed to handle

  • Draft, review, publish, and retire workflows
  • Source attribution and effective dates
  • Role-based access to knowledge

Requires a person

  • Publishing conflicting or unverified information
  • Allowing expired offers to remain active
  • Granting every AI role access to restricted content
FAQ

Questions businesses usually ask.

Does this role work independently?

No. It works inside the Sochalit AI Front Office and shares approved knowledge, customer context, workflows, permissions, and handoff rules.

Can the role take actions automatically?

Only actions approved during implementation. Sensitive actions can require human approval or be prohibited entirely.

What happens when it does not know?

It should explain that it needs help, capture the question and contact information, and route the inquiry for human review instead of guessing.

Can the role be customized?

Responsibilities, tone, tools, qualification rules, knowledge access, and escalation are configured around the business, while Sochalit’s underlying orchestration and prompt architecture remain proprietary.

See it in context

A conversation should lead somewhere useful.

These examples demonstrate the intended behavior. Final conversations depend on the business’s approved knowledge, rules, integrations, and escalation policies.

Example conversationIllustrative workflow
● Live
C
We are changing our holiday hours next week.10:00 AM
S
I can prepare that update. What dates and hours should apply, and who should approve the change?10:02 AM
C
December 24, 8 AM to 1 PM. I will approve it.10:04 AM
S
The update is saved as a draft for your approval. Once published, every AI Employee will use it.10:06 AM

Build this role around your business.

We define its responsibilities, approved knowledge, connected tools, success measures, and human escalation requirements during implementation.

Book a Demo