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What is Optivian?
Optivian is an AI sales execution platform that builds a structured, always-current understanding of every deal from emails, calls, meetings, and notes. It centers on a deal intelligence layer that automatically extracts deal data, MEDDPICC criteria, stakeholder maps, and deal health scores. Ollie, the proactive AI sales co-worker built on this layer, monitors deals 24/7 and delivers finished work product (business cases, mutual action plans, follow-ups) directly to reps in Slack, Teams, or embedded in Salesforce/HubSpot.
Optivian news
Supermetrics Case Study: Ollie Pilot Results
Supermetrics deployed Ollie to 50 sellers and achieved 96% weekly active usage within 30 days, +20% higher win rate on the pilot team versus the rest of the organization, and reactivated 72 stalled deals in the first month.
Source: Optivian Official Site ↗
Key features
Deal Intelligence Layer
Structures every deal's interactions (emails, calls, meetings, notes) into a single, always-current view. Automatically extracts MEDDPICC criteria, stakeholder maps, progress signals, and potential blockers. Customer voice is weighted above internal notes, recent signals above stale ones.
Ollie AI Co-Worker
Proactive assistant that monitors all open deals and automatically delivers prioritized work: daily actions (3 per rep per day), business cases, mutual action plans, follow-up email drafts, meeting prep, post-call summaries, and custom tasks. Delivers via Slack, Teams, or embedded CRM interfaces without waiting for rep requests.
Deal Health Scoring
Continuous scoring from 0-100 based on six weighted criteria: Customer Engagement (25%), Deal Progression (20%), Problem-Solution Fit (15%), Risks and Blockers (15%), Financial and Procurement Clarity (15%), Strategy Execution (10%). Updates automatically as interactions occur.
MEDDPICC Automation
Automatically extracts and scores all eight MEDDPICC criteria (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion, Competition, Paper Process) from every customer interaction. Each field receives a 0-100 score updated continuously with customer-sourced data weighted more heavily.
Win/Loss Analysis
Studies closed deals to identify specific win/loss reasons across 13 categories and surface patterns that drove outcomes. Insights feed back into active deal recommendations, coaching, and strategy suggestions for sales leaders.
MCP Integration
Exposes deal intelligence over MCP (Model Context Protocol), allowing Claude, ChatGPT, Gemini, and any MCP-compatible AI to read structured deal data directly. Each person's access is scoped to their own permissions; data stays read-only.
CRM Integrations
Native OAuth integrations with Salesforce (as Canvas app), HubSpot (sidebar embed), and Pipedrive. Syncs deals, contacts, emails, calls, meetings, notes. Optionally writes deal health scores and AI-generated summaries back to CRM records.
Communication Tool Integration
Connects with Slack and Microsoft Teams for deal updates, alerts, and in-thread Q&A with Ollie. Supports email delivery, Google Calendar meeting recording, and meeting transcription.
Customizable Tasks
Pre-built task types (Daily Actions, Stale Deal Actions, Value Summary, Mutual Action Plan, Business Case) plus ability to create fully custom tasks using natural language descriptions or a visual builder. Configurable triggers, target deals, and delivery channels.
Human-in-the-Loop
All AI-generated content (emails, business cases, recommendations) requires rep approval before sending to customers. Reps can edit, dismiss, or override any suggestion. Control over what Ollie writes to CRM (read-only or bidirectional).
Optivian pricing
Optivian does not publish pricing on its website. No free version or trial available. Custom pricing based on team size and deal volume; positioning emphasizes cost is 'less than one sales rep' annually.
Pros & cons
Pros
- + Structured deal intelligence reduces AI inference costs by ~6x compared to asking LLMs raw deal data (919k tokens vs 154k, $2.96 vs $0.53 per Claude run)
- + Proactive delivery of finished work product (not just suggestions) means reps spend less time on admin
- + Closed deal analysis surfaces repeatable patterns and coaching insights based on actual outcomes, not CRM dropdowns
- + Deep CRM integration (Salesforce, HubSpot, Pipedrive) means no manual data entry or context switching
- + MCP integration lets existing AI tools (Claude, ChatGPT, Gemini) reason over deal context with user-scoped access
- + Real customer validation: Supermetrics pilot showed 96% weekly active usage within 30 days and +20% higher win rate
Cons
- − Requires setup and onboarding; full context provided to Ollie performs better (takes ~5 minutes, but setup includes company profile configuration)
- − Built specifically for B2B enterprise/mid-market deals; not suitable for simple or transactional sales
- − No free trial available to evaluate before committing
- − Pricing not publicly disclosed; requires sales consultation
Who is Optivian best for?
- • B2B sales teams running complex, multi-stakeholder enterprise deals
- • Mid-market and enterprise account executives
- • Sales leaders needing pipeline visibility and deal coaching
- • Revenue operations teams requiring deal intelligence and forecast accuracy
- • Organizations in tech, financial services, or professional services with longer sales cycles
Frequently asked questions
What is Ollie?
Ollie is an AI sales co-worker built by Optivian that connects to your CRM and ingests emails, calls, meeting recordings, and notes to build deep context on every deal. Ollie delivers daily prioritized actions, generates sales collateral (business cases, mutual action plans, meeting prep), provides strategic deal guidance, and helps reps spend less time on admin and more time selling.
Who is Optivian built for?
Optivian is built for B2B sales teams running complex, multi-stakeholder enterprise deals. Most valuable for account executives managing mid-market and enterprise pipelines, sales leaders who need pipeline visibility and coaching insights, and revenue operations teams looking for better deal intelligence and forecast accuracy.
Which CRMs does Optivian integrate with?
Optivian has native integrations with Salesforce (Canvas app), HubSpot (sidebar embed), and Pipedrive. Integration uses OAuth so Optivian never stores CRM passwords. Syncs deals, contacts, emails, calls, meetings, notes and optionally writes deal health back to records.
Can I review and edit Ollie's suggestions?
Yes, always. Ollie suggests, your team decides. Every action, email draft, business case, and recommendation requires human approval before sending to customers. Reps can edit content, dismiss recommendations, or override suggestions at any point. You control exactly what Ollie can write to your CRM.
How does Optivian work with other AI tools like Claude?
Optivian exposes structured deal intelligence over MCP (Model Context Protocol), allowing Claude, ChatGPT, Gemini, and any MCP-compatible AI to read deal data directly. Each person's access is scoped to their own permissions. Questions like 'Which deals are at risk?' are answered from synthesized deal context rather than raw transcripts, reducing costs and improving accuracy.
How does deal health scoring work?
Deal health is scored 0-100 based on six weighted criteria: Customer Engagement (25%), Deal Progression (20%), Problem-Solution Fit (15%), Risks and Blockers (15%), Financial and Procurement Clarity (15%), and Strategy Execution (10%). Scores update continuously as new interactions occur, and score changes can automatically trigger tasks so teams respond to at-risk deals early.
What is closed deal analysis?
Optivian examines the full timeline of every won and lost deal to identify specific win/loss reasons across 13 categories and uncover patterns that drove outcomes. Sales leaders use these insights for QBRs, rep coaching, and pipeline reviews. Findings feed back into active deal recommendations to improve guidance on similar opportunities.
How does MEDDPICC automation work?
Ollie automatically extracts and scores all eight MEDDPICC criteria from every customer interaction (emails, calls, meeting transcripts, notes). Each criterion receives a score from 0-100 based on evidence found. Scores update continuously as new interactions occur; customer-sourced data is weighted more heavily than internal notes.
