AI agents that investigate and resolve complex support tickets.
Connect your helpdesk, product documentation, logs and approved business systems. Helperfy investigates technical issues, grounds its recommendations in evidence and hands control to your team when needed.
- Stripping PII
- Querying API logs
- Checking key rotation
Customer
Customer
Customer
Customer
Customer
Customer
Connects with
Technology partner
CustomerFollow one investigation, step by step.
A fictional, sanitized ticket. Each step shows what the agent reads, which system it uses, what it finds and what it does next.
“Our order webhooks stopped arriving around 08:10 UTC. Nothing changed on our side.”
Helpdesk (read-only)
Account: acme-logistics · plan GrowthEndpoint: https://hooks.acme.example/ordersSimilar tickets in last 30 days: 2
Classified as integration / webhooks. Agent is allowed to read delivery logs and account config.
Illustrative walkthrough with fictional data — not live telemetry.
One agent. Every system your answers live in.
Click a system to see what the agent does with it — or watch it work on its own.
Zendesk
Reads the new ticket, its history and the customer’s past conversations.
→ Ticket #48213 · priority high4,400 tickets a month, most of them API errors and webhook failures. Two engineers came off the tier-1 rota.
9,000 tickets a month across email and chat. Live order lookups replaced a queue that peaked every weekend.
Account and transaction queries answered from the ledger, with anonymisation ahead of every model call.
Everything stays private. Nothing goes worldwide.
Choose on-premise, air-gapped or your own cloud and customer data, tickets and model calls stay inside your perimeter.
- On-premise, private cloud or air-gapped
- Self-hosted models — no external AI calls
- Data stays in your region
- Never used for training
Your engineers answer the same forty tickets every week.
Generic chatbots guess
They answer from training data, so a wrong API explanation reaches the customer before anyone reviews it.
Enterprise suites cost six figures
$100K contracts and six-month onboarding, before a single ticket has been resolved automatically.
Compliance blocks the rollout
Sending customer records to a third-party model is the fastest way to lose a security review.
Six things competitors don't combine
At mid-market pricing. No six-figure contract, no six-month onboarding.
Fast custom integrations
Any REST API, database or ticketing system in days. Zendesk, Jira, Salesforce, ServiceNow, or your own stack.
Token optimisation
Context compression cuts inference cost 40–70% at scale. At 10,000 tickets a month that is $3,000–$8,000 saved.
PII anonymisation
Names, emails and sensitive fields are stripped before any LLM call. In private-cloud and on-premise deployments, data stays in your environment.
High-quality RAG
Grounded in your documentation, knowledge base and past tickets. Under 1% hallucination on domain queries.
Predictive analytics
Spots which product areas generate tickets and flags emerging problems before customers report them.
Continuous QA
Agentic loops score every answer, humans review edge cases. Auditable weekly improvement, never a black box.
Audit trail on every answer
Sources, confidence and reviewer stored with each response, exportable for a compliance review.
Handover with context
Below your confidence threshold the ticket routes to a human with the history, the partial answer and its sources attached.
Answers in your customers' languages
The same grounded response, produced in the language the ticket arrived in.
The agent remembers, works in the open, and tells you what keeps breaking.
Canvas
A shared surface where the agent and your team build the answer together — logs, queries and the draft reply side by side, not buried in a chat thread.
Persistent memory per user
Each customer keeps their own history: past tickets, environment, configuration. The second conversation starts where the first one ended.
Product insights
Clusters what customers actually fail at and returns it to product as evidence rather than anecdote.
Fourteen days, and you supply less than you think
- Week one
Connect and ingest
Read-only credentials to your ticketing system, database and docs. We wire the connectors and index your knowledge base.
- Week two
Replay and tune
The agent answers last month's tickets in a dry run. You read the answers, set the confidence threshold, mark what must always reach a human.
- Day fourteen
Live on one queue
Start with the highest-volume ticket type, measure for a fortnight, then widen. Nothing goes live that you have not read.
Against a generic chatbot
Real data. Real answers. Every time.
High-quality RAG
Answers from your docs only — hallucination rate below 1%.
Real-time data access
Live DB and CRM queries — order status, account data, error logs in 180 ms.
85% auto-resolved
Cost drops from $38 to $12 per ticket. The token engine saves 40–70% on inference.
PII controls built in
PII anonymised before every model call; self-hosted models available for private deployments.
Hallucinates answers
Wrong API answers destroy customer trust and escalate the ticket anyway.
High-quality RAG
Answers from your docs only — hallucination rate below 1%.
No access to real data
Cannot query your live database or CRM — generic responses only.
Real-time data access
Live DB and CRM queries — order status, account data, error logs in 180 ms.
High cost, low automation
$15–50 per ticket, with 60% still handled manually.
85% auto-resolved
Cost drops from $38 to $12 per ticket. The token engine saves 40–70% on inference.
GDPR exposure
PII sent to third-party models with no anonymisation layer.
PII controls built in
PII anonymised before every model call; self-hosted models available for private deployments.
Start on a free pilot
Start with a free, scoped pilot. Paid plans are annual, with no surprise charges.
No credit card required
- 500 AI interactions / month
- 3 tool integrations
- 1 AI agent
- Basic analytics
- Email support
per month, billed annually
- 10,000 interactions / month
- Unlimited integrations
- Up to 5 AI agents
- Smart routing and escalation
- Priority support and CSM
Tailored to volume and deployment
- Unlimited interactions and agents
- On-premise or private cloud
- SOC 2 Type II report & ISO 27001 evidence
- SSO / SAML
- Custom SLA to 99.9%
| Feature | Pilot | Growth | Enterprise |
|---|---|---|---|
| Price | Free | From $2K / month | Custom |
| AI interactions / month | 500 | 10,000 | Unlimited |
| AI agents | 1 | 5 | Unlimited |
| Tool integrations | 3 | Unlimited | Unlimited + custom |
| Deployment | Helperfy cloud | Helperfy cloud | Your cloud / on-prem |
| SOC 2 Type II report | — | On request | On request |
| SSO / SAML | — | — | Okta, Azure AD |
| Support | Priority + CSM | Dedicated engineer | |
| Uptime SLA | Best effort | 99.5% | Custom |
Built to clear the security review, not to survive it
Anonymisation is part of the request path rather than a setting, so the compliance answer is the same on day one as in month twelve.
What support leads ask first
What is an AI Technical Support Agent?
How long does deployment take?
How is PII handled?
What happens when the agent is not confident?
Which tools do you integrate with?
How is pricing structured?
See a realistic support investigation.
Thirty minutes on a realistic support investigation. Evaluating your own tickets comes after we agree access and a safe pilot scope.
Free pilot · No credit card · No production credentials