Parahelp

Authenticated action across the customer's existing stack, with a low-friction connection route. Parahelp connects to existing ticketing systems including Zendesk, Intercom and Front, and acts in tools including Stripe, Slack, Linear and Retool, processing refunds, filing bugs and updating records rather than only reading.

Beyond the supported set, other tools connect via API or Model Context Protocol, and the Parahelp 3 release of June 2026 states that if a tool has an API it can be connected to the support agent just by chatting with Parahelp, making integration authoring conversational rather than engineered.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

The agent drafts a resolution plan and executes it across systems in one pass.

Parahelp evaluates each ticket, generates a contextual plan, retrieves the context it needs and carries the plan out end to end, with the published worked example running a subscription lookup in one tool, a refund in Stripe and a bug filed in Linear before returning a customer-ready response.

Natural language instructions define how specific ticket types are resolved, and the product distinguishes ticket classes including general questions and troubleshooting cases such as integration errors and SSO or login issues.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

Grounding spans engineering artifacts as well as support content, which follows from the software-company focus. Parahelp connects to the customer's codebase, docs, help center, internal wikis and other knowledge sources alongside documented standard operating procedures, and the product states that it can be connected to any webpage or internal knowledge. Procedures are configured by chatting with the Internal Agent rather than authored in a builder, and the AI Manager rewrites knowledge articles from what it learns on live tickets, so the corpus is maintained rather than loaded once.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

Three distinct documented mechanisms, one of them a pre-execution gate. Parahelp transfers a ticket when it cannot confidently resolve it or when the customer asks; specific actions can be set to "require human approval via Slack before execution"; and every action is automatically validated against hard-coded rules before it runs. Approval lives in the team's own chat tool rather than a vendor console, which puts the gate where the on-call person already is.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

The security page states SOC 2 Type II compliance with reports at trust.parahelp.com and GDPR compliance, and documents role-based permissions with Admin and Operator roles and granular team permissions, plus encryption at rest and in transit, a setting for workspace admins to disable personal data storage, and no training on customer data; the homepage repeats SOC 2 Type II audited and role-based access across the product. No SSO or ISO attestation is stated.

Sourceparahelp.com/securityread 2026-09-30

Every action lands in one timeline showing what changed and who made the change, continuous tasks are visible across the team with what each does, when it runs and who it notifies, and the team is notified when agents complete tasks or need input. This is action logging and change attribution, a record of what happened rather than a reconstruction of why the agent chose it; no per-decision reasoning trace is documented.

Sourceparahelp.com/platform/internal-agentread 2026-09-05

No memory layer with a stated scope or lifetime is documented.

What the product describes is retrieval and configuration improvement: the agent retrieves relevant customer and product data from connected systems at resolution time, and the Internal Agent and AI Manager improve the agent's procedures and knowledge articles over time by learning from past ticket logs.

Reading a record the customer's own systems hold is retrieval rather than retained state, and learning absorbed into configuration is not a memory layer. No cross-conversation state store a buyer could name, scope or delete is published.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

No hosting region, hosting provider or deployment option is published. Parahelp is delivered as multi-tenant SaaS working inside the customer's existing ticketing system, and its data posture is described elsewhere as minimal PII storage with zero data retention options for model calls, which is a position rather than a residency one. 2026-09-05

Three named agents ship prebuilt rather than being authored from scratch: the Customer Agent that resolves tickets, the Internal Agent that builds, tests and improves it from natural language instructions, and the AI Manager added September 2025 that analyzes ticket logs, rewrites knowledge articles and A/B tests procedures.

The Internal Agent auto-builds the Customer Agent from connected context and tools, so the customer receives a working agent rather than a canvas, with setup stated at about a day and no engineers. There is no template library or marketplace, so the adoption route is the named agent set rather than a catalog.

Sourceparahelp.comread 2026-09-05

Three channels named, largely inherited, and no initiation documented. Parahelp states it resolves customer issues end to end through email, live chat and Slack, and that a Customer Agent is set live across the customer's channels, working inside the existing ticketing system so it reaches whatever that system already covers. Email and live chat arrive through the connected helpdesk rather than through a channel layer Parahelp ships, no voice, SMS or social channel is documented, and no proactive or scheduled trigger appears anywhere, so the agent answers what arrives rather than initiating.

Sourceparahelp.comread 2026-09-05

No model selection, routing or bring-your-own-model control is exposed to the customer, and no provider is named. The configuration surface Parahelp documents is procedures, personality and connected tools, all authored by chatting with the Internal Agent, with no model layer surfaced in that conversation or elsewhere.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

Parahelp consumes interfaces readily and exposes none. Supported tools such as Stripe, Slack and Linear connect directly, and the customer agent page states that other tools connect via API or Model Context Protocol, with the Parahelp 3 release adding that any tool with an API can be connected just by chatting with Parahelp.

All of that is the platform reaching outward. MCP is named on the product page, but as a client connecting Parahelp to other systems rather than a server others call. No public API reference, SDK, developer portal or MCP server exposed by Parahelp for others to build against is documented.

Sourceparahelp.com/platform/customer-agentread 2026-09-05

Testing runs on real tickets rather than synthetic cases, and it runs continuously. The Internal Agent builds, tests and improves the Customer Agent as a core published function, following natural language instructions, and the setup flow is explicitly connect context and tools, then the Internal Agent builds and tests the Customer Agent, then set it live.

The AI Manager added September 2025 goes further, analyzing past ticket logs, configuring procedures, rewriting knowledge articles and "A/B testing new procedures" against live tickets. Procedure-level A/B testing produces a comparable result on the customer's own agent.

Sourceparahelp.comread 2026-09-05

Browser control, hosted sessions and computer use are absent from Parahelp's published product. Instead, the agent resolves tickets through connected tool APIs and Model Context Protocol connections, acting in Stripe, Slack, Linear and Retool, and works inside the customer's existing ticketing system rather than operating an interface.

Sourceparahelp.com/platform/customer-agentread 2026-09-05