Oliv AI

Breadth across the classes a revenue team's context lives in, with authenticated write-back rather than ingestion alone. The vendor states it works with 100+ SaaS tools and publishes an integrations directory, naming Outlook and Gmail for email, phone systems for calls, Microsoft Teams and Zoom for meetings, HubSpot and Salesforce for CRM, and Slack.

Agents write as well as read: the CRM Manager updates standard and custom fields continuously and the vendor's product view shows AI field suggestions accepted and auto-applied across deals with values captured from recent calls and activity. That spans email, calendar, conferencing, telephony, CRM, chat and customer success platforms.

Sourceoliv.ai/integrations and oliv.ai/context-captureread 2026-09-04

An agent workforce with a dispatcher above it, which is a different orchestration shape from workflow branching. Olivia, positioned as chief of AI staff, sees across the team and dispatches the right sub-agent for each task. Oliver, chief GTM engineer, calibrates the process the others run on, learning how the team operates and encoding it as rules in the process graph.

Beneath them specialist agents own responsibilities across the whole revenue lifecycle rather than completing single tasks, and the vendor states the distinction plainly as agents that own responsibilities, not just complete tasks. Work passes between them by design, with a Hand-off Hank agent existing solely to turn sales context into customer success handoffs.

The harness the vendor describes as the difference between a demo and a deployment names permissions, approvals, memory management, guardrails, monitoring and a reliability harness as the infrastructure that makes agents run in production. Agents are implemented by Oliv's own forward-deployed GTM engineers rather than configured by the customer, a service dependency the vendor presents as a benefit.

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Grounding built as infrastructure rather than as retrieval, and documented in three named parts. Context Capture ingests every meeting, email, call and document automatically from Outlook, Gmail, phone calls, Microsoft Teams, Zoom, HubSpot, Salesforce and connected SaaS tools.

The Object Graph resolves each signal onto the right account, contact, deal, renewal or expansion, including across multi-threaded deals, with the vendor's worked example joining a transcript mention, an email address, a calendar entry, a chat handle, a CRM record and a LinkedIn profile into one identified stakeholder.

The Signal Graph runs more than a hundred small language models, each fine-tuned to one revenue question, reasoning over that context before a question is asked, producing named judgments including MEDDIC and MEDDPICC scoring, champion identification, economic buyer, renewal risk, churn indicators and executive sponsor health. The vendor's own framing is synthesis rather than retrieval.

Sourceoliv.ai/object-graph, oliv.ai/signal-graph and oliv.ai/context-captureread 2026-09-04

Constraints exist and are encoded, with no gate documented in front of an individual action. The Process Graph encodes the customer's rules, handoffs and approvals into how agents work, so the boundaries are set by the team rather than by generic defaults, and the agent harness names guardrails, permissions and approvals among the components the vendor says distinguish a production deployment from a prototype.

The product view shows a human step on the most consequential action, with CRM field suggestions described as accepted and then auto-applied rather than written silently. None of that is documented as a mechanism a customer configures. No approval queue, confidence threshold that withholds output, blocked-action policy or escalation rule is described anywhere, the harness items are feature bullets, and the vendor's own framing is that agents own responsibilities and act rather than propose.

Sourceoliv.ai/process-graph and oliv.ai homepageread 2026-09-04

SOC 2 is named; access controls are not documented. Oliv runs a trust center at trust.oliv.ai, powered by Sprinto, and its compliance page names SOC 2 as a framework the company follows. No single sign-on, SAML, SCIM, role-based access control or permission model appears on Oliv's own pages, and the homepage names Audit and Security and Security and compliance only as bullet items in its agent harness without describing a control a buyer configures.

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Agent activity is visible in the product, with no audit surface documented over it. A live feed has each agent report what it did and why, and the agent harness names permissions and approvals. No run history, retention, export or audit log of agent actions is documented.

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A store the agents keep and read before acting. The Process Graph holds the team's rules and exceptions (ICP, approval flows, pricing logic, positioning, qualification), maintained by the Oliver agent and read by every agent before it acts. The page states no scope, lifetime, review or delete path, and much of what it holds is rules the agents apply.

Sourceoliv.ai/process-graphread 2026-10-01

Hosting location and residency options are not stated on Oliv's product pages. The homepage covers context, infrastructure and talent without saying where anything runs, and no hosting location, region selection, private cloud, VPC or self-hosting option is published. A claim of regional data residency as standard appears only in an Oliv blog roundup that ranks it against rivals, and the product pages do not confirm it.

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A browsable set of prebuilt agents. Oliv publishes an agents marketplace with See All Agents and Request an Agent routes, and the apps on the pricing page (Converse, Sell, Grow, Amplify, Engage) each carry their own agents and are bought separately, and each works without the others.

Sourceoliv.ai/agents-marketplace and oliv.ai/pricingread 2026-10-01

Agents run whether or not anyone opens the product, which is the vendor's central design claim. Intake is continuous and automatic: every meeting, email, call and document is captured and written to the right account, contact and deal, across Outlook, Gmail, phone calls, Microsoft Teams, Zoom, HubSpot and Salesforce.

The vendor's own product view shows agents acting on their own clock, with a live feed timestamped just now, thirty minutes ago and two hours ago, a Forecaster reporting four deals that shifted forecast category overnight, and Oliver triggering plays against six accounts that had not engaged an executive sponsor in sixty days. Outbound reaches people through the product feed, meeting prep delivered before calls, and a Rapid Responder agent that calls and qualifies inbound leads before interest cools, which is a voice channel as well as a trigger. The useful buyer test the vendor proposes is whether churn risk visibility would decrease if nobody logged in for a week, and the answer here is documented as no.

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The vendor names itself as the model provider and offers the customer no choice. Oliv states that its Signal Graph runs more than a hundred small language models, each fine-tuned to one revenue question and reasoning over the customer's full context, and refers to them as Oliv SLMs.

That is a proprietary model estate rather than an undisclosed dependency, and the homepage draws the contrast explicitly, positioning its own hosted harness against prototyping an agent in Claude. No model list beyond that description, routing policy stating which model handles which question, per-agent selection or bring-your-own-key option is published.

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Nothing lets an outside system call this platform. No public API, developer portal, endpoint reference, SDK, client library, webhook surface or MCP server is published. The native integrations bring context in and write updates back to the CRM, and free migration from Gong is a commercial offer.

A sandbox at sandbox.oliv.ai lets a prospect try the product, which is a trial surface rather than a programmatic one, and the agents marketplace offers a Request an Agent route, which is a request to the vendor rather than a customer building anything.

The missing interface cuts against Oliv's positioning, since the vendor markets itself as AI-native infrastructure and contrasts its harness against prototyping in Claude, yet publishes no way for a customer's own assistant or system to reach it.

Sourceoliv.ai homepage and oliv.ai/integrationsread 2026-09-04

Advice on how to evaluate, rather than a mechanism to evaluate with. The vendor advocates a thirty-day agent training period and holdout group measurement against net revenue retention, gross revenue retention, logo churn and lifetime value, which is sound methodology, but it is published guidance the customer runs themselves rather than tooling in the product.

No evaluation harness, scored test set, benchmark, regression check when the process graph or an agent's rules change, sandbox comparison or A/B facility is published, and the onboarding arc promises measurable ROI on the first agent by week four without describing how it is measured. An element labeled Evals appears in the forecast product view on the homepage, and what it does is not explained.

Sourceoliv.ai homepageread 2026-09-04

Everything the agents touch arrives through an authenticated connector. Context Capture pulls meetings, emails, calls and documents from Outlook, Gmail, telephony, Microsoft Teams, Zoom, HubSpot, Salesforce and connected SaaS tools, and agents write back into the CRM through the same route. The one channel that reaches outside a connector is voice, with a Rapid Responder agent calling inbound leads to qualify them, which is a telephony action rather than operating an interface. No browser extension, headless session, portal navigation, form filling, screen or click automation is documented.

Sourceoliv.ai/context-capture and oliv.ai/integrationsread 2026-09-04