Governed AI support
Configuration required
Automate repetitive support while keeping humans in control.
Ground AI responses in approved company knowledge, control spend and confidence, review risky answers and hand conversations to agents whenever certainty is low.
Available when a supported AI provider, approved knowledge, budget and handoff policy are configured.
Best for: Teams that want AI efficiency without an uncontrolled black box.
Interface preview · demo workspace
AvailabilityConfiguration required
PlatformHelpoSoft Cloud
Production ruleVerify configuration before rollout
TransparencyView product status
Core workflow
Designed around the outcome, not a checkbox.
Each capability should have a clear owner, test path and customer-safe failure behavior before production expansion.
Knowledge grounded
Responses use published and approved articles, with source context and knowledge-gap tracking.
Three operating modes
Choose draft, assisted or automatic AI behavior independently for each website.
Provider resilience
Configure prioritized OpenAI-compatible providers with fallbacks, health checks and circuit breakers.
Quality governance
Review low-confidence responses, sensitive topics, negative sentiment and unsupported answers.
Enterprise use cases
Three ways AI Support Agent becomes accountable work.
These scenarios describe operating patterns—not invented customer results. Validate them against your channels, roles and Cloud configuration.
Repetitive setup questions
Answer stable, well-documented questions from approved sources and escalate unsupported requests.
Lower repetitive workload without treating containment as success.
After-hours first response
Provide controlled guidance for low-risk topics while preserving a visible path to human support.
Useful coverage without making false staffing promises.
Knowledge-gap discovery
Record unanswered, corrected and low-confidence questions for content owners.
A measurable loop between real customer demand and documentation.
Production readiness
Prove the workflow before expanding it.
Enterprise readiness comes from repeatable evidence: correct access, correct state, safe failure and a named operational owner.
Review security controlsBefore configuration
Prerequisites
- Supported provider endpoint and protected credential
- Approved knowledge with named owners
- Restricted-topic and refusal policy
- Monthly usage budget and escalation owner
Before production
Evidence to verify
Review the exact knowledge sources used for sampled answers.
Test missing knowledge, provider outage, budget exhaustion and low confidence.
Confirm customers can reach a person and reviewers can inspect automatic outcomes.
Implementation path
Move from configuration to a production-ready workflow.
Introduce the capability in controlled steps, verify ownership and delivery, then measure the result.
Connect an AI provider
Start with the minimum configuration and access required for a safe test.
Import and approve knowledge
Validate the step with real support examples and documented ownership.
Start in draft mode
Validate the step with real support examples and documented ownership.
Review confidence and feedback
Validate the step with real support examples and documented ownership.
Enable assisted automation for proven topics
Review outcomes, feedback and operational gaps before expanding.
Capability breakdown
Everything agents and managers need around the workflow.
Feature availability and limits depend on the current Cloud release, configuration, provider eligibility and commercial entitlement.
AI Agent Copilot
Suggested replies and summaries
Intent and sentiment detection
Translation and tone controls
Monthly budget limits
Per-provider cost reporting
Human handoff rules
Prompt-injection safeguards
Operating evidence
Measure the workflow without inventing success.
Use production definitions, exclude demo workspaces and reconcile sampled metrics to the underlying support records.
Cloud responsibility
One managed platform with three accountable layers.
Separate HelpoSoft Cloud operations, customer configuration and connected-provider responsibilities before production rollout.
Managed cloud platform
HelpoSoft operates the contracted application environment, release process, platform monitoring and service restoration procedures.
Review responsibilitiesCustomer configuration
Your organization controls users, roles, channels, knowledge, automation, AI policy, retention choices and lawful use.
Review responsibilitiesConnected providers
Email, messaging, AI, voice, CRM and billing providers retain their own eligibility, pricing, retention and availability responsibilities.
Review responsibilitiesConnected systems
Relevant integrations
Check availability, permissions, data flow and provider dependencies before connecting production accounts.
Implementation guidance
Related guides
Use practical setup and governance material instead of relying on a feature list alone.
Known boundaries
What this capability does not remove.
Provider rules, Cloud configuration, identity decisions and team policy remain real responsibilities.
AI output can be incorrect even when fluent.
Provider privacy, retention and regional terms remain external responsibilities.
Automatic coverage should expand topic by topic, not through one global switch.
Related capabilities
Build the complete support workflow.
Launch governanceConfirm workspace roles and least-privilege access for every person who can configure or operate this capability. Test normal, duplicate, delayed, failed and unauthorized scenarios in a non-production workspace. Document the customer-visible fallback when the capability or a connected provider is unavailable. Assign an operational owner, review cadence and measurable acceptance criteria before launch. Verify retention, export, deletion and audit requirements for the data used by this workflow.
Production approval checklist.
Use evidence from a controlled workspace before expanding customer-impacting behavior.
Procurement review1 2 3 4
Questions buyers should resolve.
Commercial entitlement, provider dependency and operating responsibility should be explicit before purchase.
Which plan entitlement and usage limits apply to this capability?
Which HelpoSoft Cloud controls are included and which settings remain customer-owned?
Which connected providers, credentials, regions and external charges are required?
What evidence can be supplied for access, delivery, failure handling, recovery and change history?
Product FAQ
Questions about AI Support Agent.
No. Copilot inserts suggestions into the normal reply editor; an agent reviews and sends them.
Yes. Workspaces can set monthly budgets and usage limits, and the provider system stops cleanly when limits are reached.
The conversation can be handed to a human and the unanswered question is added to the knowledge-gap queue.