Zendesk AI, Freshdesk Freddy, and Fin AI all report resolution rate. None of them tell you whether a billing response was factually correct before it was sent. FortiVault measures AI accuracy per helpdesk category and routes responses through human review when accuracy falls below your threshold — not after the customer disputes it.
FortiAgent handles helpdesk AI execution. FortiVault runs an accuracy check on every response before delivery. Deploys alongside your existing Zendesk, Freshdesk, or Salesforce setup — not instead of it.
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The Problem
The major AI helpdesk platforms all optimise for the same metric: resolution rate. Higher resolution rate means fewer tickets reaching human agents, which means lower support cost. The problem is that resolution rate tells you nothing about response accuracy — and accuracy is what determines whether your customers receive correct information about their billing, their account, and their orders.
Most AI helpdesk tools report resolution rate and CSAT — not whether responses in billing or account categories are factually correct. You cannot govern automation you cannot measure.
Confidence thresholds and escalation rules are set at deployment and left. There is no runtime enforcement layer that checks whether the AI's current accuracy in a category still meets the policy you set.
When a customer disputes an AI-generated billing response, most helpdesk platforms cannot tell you which knowledge source was used, what API was called, or whether the response was reviewed before sending. You have a ticket — not a record.
Support teams review AI responses after incidents surface — not because the governance layer automatically held the response for review when accuracy was below threshold.
The Solution
FortiVault does not replace your helpdesk. It adds the governance enforcement layer that your existing AI helpdesk tools are missing. FortiAgent handles AI support execution — grounded in your knowledge, connected to your live helpdesk data. FortiVault governs every response before it reaches the customer.
The result: your helpdesk agents spend less time reviewing routine queries, more time on the complex cases that require their judgement, and have a complete audit trail for every AI decision when something needs to be investigated.
Handles helpdesk AI execution — resolves queries using configured knowledge, calls live connector APIs (Zendesk, Salesforce, Shopify, Stripe), applies guidance rules, and executes write-back procedures. Deployed as a widget or integrated into your existing helpdesk workflow.
FortiAgent capabilitiesSits above FortiAgent and governs every helpdesk AI response before delivery. AI Trust Score measured per category. Automation gates enforced per response. Full audit trail logged for every decision. Human review queue for responses below threshold.
How It Works
Every helpdesk query follows a governed path through FortiAgent and FortiVault. No response reaches the customer without passing through the automation gate.
Via the FortiAgent widget, email integration, or connected helpdesk channel.
FortiAgent retrieves matching content from your configured FAQs, policies, and product guides.
Order status, billing state, account data — retrieved from registered connector APIs in real time.
Grounded in retrieved knowledge and live data. Guidance rules applied. Not generated from model training data.
AI Trust Score for this category checked against your configured threshold. Automated or held for review.
Full decision record created: knowledge source, connector log, rule applied, gate state, outcome.
Features
Billing accuracy is tracked independently from FAQ accuracy. A 92% platform average can hide a 74% billing accuracy — which is exactly the number you need before deciding whether billing queries should automate. FortiVault surfaces the number that matters.
FortiVault runs a gate check on every FortiAgent response before it reaches the customer. If the Trust Score for the query category is below your configured threshold, the response is held in the review queue. If it meets the threshold, it sends automatically. This runs on every response — not on a sample.
When a customer disputes an AI billing response, you can show exactly which knowledge document was retrieved, which Stripe or Shopify API call was made, whether a human reviewed the response before sending, and what the Trust Score was at that moment. Your current helpdesk has a ticket. FortiVault has the full decision record.
When a response requires review, the agent sees the AI draft alongside the knowledge chunk it used, the connector data it retrieved, and the rule it applied. They are approving or correcting with full context — not rubber-stamping a text box.
FortiAgent pulls answers from your configured knowledge sources and live Zendesk, Salesforce, Shopify, and Stripe data. There is no fallback to model training knowledge. If the answer is not in your knowledge base, FortiAgent escalates — it does not invent.
Tighten the billing threshold from 88% to 92% after a spike in refund errors. Loosen the FAQ threshold when you see the Trust Score is consistently running above it. Changes take effect immediately from the admin console — no deployment, no engineering ticket.
How FortiVault Is Different
The leading AI helpdesk tools are strong on execution: they deploy quickly, integrate with existing ticketing systems, and produce measurable resolution rate improvements. The governance gap — accuracy measurement per category, runtime policy enforcement, per-decision audit trail — is consistent across all of them.
Strengths
Deep integration with the Zendesk suite. Large installed base. ISO 42001 certified.
Governance gap
ISO 42001 is a management framework — it covers how you document and review AI policies, not whether the AI's billing responses are accurate right now. Zendesk has no runtime mechanism that measures billing accuracy independently, compares it to a threshold, and holds responses for review when it falls below. Their governance messaging lives in blog posts, not product features.
FortiVault position
Pull live Zendesk ticket and account data into FortiAgent responses via connector. Add FortiVault's accuracy gates and audit trail on top — without changing your Zendesk workflow.
Strengths
Named governance framework ("Freddy AI Trust") with five documented pillars. Competitive pricing.
Governance gap
Freddy AI Trust is a policy framework — safety, privacy, and explainability as principles. None of the five pillars include a per-category accuracy score that adjusts in real time, or a gate that holds billing responses for review when accuracy drops below your configured threshold.
FortiVault position
Connect FortiAgent to Freshdesk as a live data source. Add FortiVault's runtime accuracy enforcement — the thing Freddy AI Trust describes in principle but leaves unbuilt.
Strengths
Strong published resolution rate benchmarks. Fast to deploy. Well-known brand.
Governance gap
Resolution rate measures how many tickets got a response — not how many of those responses were correct. Fin AI publishes resolution benchmarks prominently. It does not publish per-category accuracy breakdown, and there is no mechanism to hold billing responses for review when accuracy falls below a threshold you define.
FortiVault position
FortiVault and FortiAgent are a direct alternative to Fin AI for teams where "resolved" is not sufficient — where the response also needs to be accurate, auditable, and gated by your policy.
Why Governance Matters
At 200 billing queries per day, a 6% AI error rate produces 12 wrong answers. Your support team catches most of them on the customer's next reply. The cost is manageable.
At 5,000 billing queries per day, the same 6% error rate produces 300 wrong billing answers — daily. Each one tells a customer the wrong refund amount, the wrong payment timeline, or the wrong dispute outcome. Each one costs agent time to correct, and some become chargebacks. The support team does not find out until the customer calls back angry.
The difference between 12 and 300 is not a bigger AI problem — it is the same AI problem at a different volume. FortiVault does not make the AI more accurate. It ensures that when the AI falls below your accuracy threshold, the response does not reach the customer. That is the only structural way to contain the error rate as volume scales.
The governance threshold in practice
Billing queries: 5,000 / day · error rate without governance: 6%
→ 300 incorrect billing responses / day reach customers
Same volume · with FortiVault automation gate at 94% accuracy threshold
→ Billing automation disabled until accuracy reaches 94%
→ All billing responses in human review queue until threshold met
→ Reviewers see 5,000 drafts/day · approve accurate ones · correct the rest
FAQ
No. FortiVault and FortiAgent are designed to work alongside your existing helpdesk. FortiAgent connects to Zendesk, Freshdesk, and Salesforce as live data connectors — pulling order status, account details, and ticket history in real time. FortiVault adds the governance enforcement layer above your AI support layer. Your existing helpdesk remains your ticketing and agent workspace.
The built-in AI features in Zendesk and Freshdesk are designed for resolution efficiency — they maximise the number of queries resolved without a human. FortiVault's governance system is designed for accuracy control — it measures whether AI responses are correct by category, enforces accuracy thresholds before responses are sent, and logs every AI decision for audit. The concerns are different, and the features are different.
FortiVault governs FortiAgent specifically. If you have an existing AI chatbot from a different vendor, FortiVault does not sit above it as a generic governance wrapper. The governance layer is integrated into how FortiAgent generates and delivers responses — it cannot be bolted on to a third-party AI that does not expose the decision data FortiVault needs.
The Trust Score begins building from the first conversation. In high-volume helpdesk environments, it typically produces statistically meaningful per-category accuracy signals within one to two weeks. In lower-volume environments, the initial period requires more human review time while the accuracy dataset builds — which is why we recommend deploying all categories in review mode initially.
Start by identifying the categories where AI errors carry the highest operational cost. Typically: billing and payment queries, refund and return decisions, account change requests. Set high accuracy thresholds for these categories initially — 90% or above — and lower thresholds for informational categories like product FAQs and shipping status. Enable automation category by category as the Trust Score reaches each threshold.
Get Started
Deploy FortiAgent and FortiVault alongside your existing helpdesk. Start with all categories in review mode. Enable automation category by category as Trust Score reaches your thresholds.
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