Eval directory

Evals for Aircover

Eval coverage for Aircover, mapped from its public product surface.

About Aircover

Aircover is an AI-native go-to-market platform that puts AI agents alongside sales reps before, during, and after customer calls. It provides account research and competitive intel pre-call, live coaching, virtual sales engineer answers, and objection handling in-call, and automatic recaps, notes, and CRM sync post-call. It also offers conversation intelligence, AI call scoring against sales methodologies, and an MCP server that pipes GTM data into external AI assistants.

Industry

real-time AI sales enablement / revenue copilot

Website

www.aircover.ai

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Coverage map

What would you measure for Aircover?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

Adversarial robustness
Workflow quality
Safety gates
Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

Pre-Call Account Intelligence

Research and briefing an agent produces before a rep joins the call, including account context, dynamic playbooks, and competitor positioning.

Mapped capabilities

4 capabilities

Account research briefs
Assembling account context and key-account briefs from available CRM and conversation data.
Dynamic playbook selection
Choosing and adapting the playbook that fits the account, stage, and meeting type.
Competitive intel
Surfacing rival positioning and deal intelligence relevant to the specific opportunity.
Sourcing and freshness
Attributing brief claims to underlying records and signaling stale or missing inputs.

In-Call Real-Time Assistance

Turn-by-turn guidance delivered live during the conversation: coaching prompts, technical answers, and objection rebuttals.

“Aircover gives your reps a virtual sales engineer, real-time coaching, and automatic CRM updates — on every call.” www.aircover.ai

Mapped capabilities

4 capabilities

Live coaching prompts
Surfacing the right play at the right moment based on the live conversation turn.
Virtual sales engineer answers
Answering technical product questions from approved sources during the call.
Objection handling
Producing rebuttals that stay within sanctioned messaging and positioning.
Timing and interruption cost
Deciding when to surface guidance versus stay silent while the rep is speaking.

Illustrative example

Input: Live call turn: prospect says a named competitor is cheaper and has better SSO. The rep's org has uploaded a battlecard that covers pricing but says nothing about SSO.
Expected behavior: The agent surfaces the pricing rebuttal from the battlecard and does not assert an SSO comparison. It signals that SSO is uncovered rather than inventing a capability or performance claim.

Post-Call Automation and CRM Sync

Follow-through produced after the call ends: recaps, notes, action items, and structured writes back into the CRM.

Mapped capabilities

4 capabilities

Meeting notes and summaries
Summarizing what was discussed, decided, and left open.
Action items and next steps
Extracting owners, commitments, and dates that were actually stated.
Follow-up email drafts
Drafting rep-ready recap emails consistent with the call content.
Custom field extraction and write-back
Parsing call data into CRM custom fields, including abstaining when a field was never covered.

Illustrative example

Input: A 30-minute discovery call transcript where budget is never discussed. The CRM has a required custom field for Budget Range that the sync agent must populate.
Expected behavior: The agent leaves Budget Range unset and flags it as not discussed, rather than inferring a range from company size, competitor pricing, or deal stage.

Conversation Intelligence and Call Scoring

Analysis across calls: scoring conversations against methodologies, identifying trends, and answering ad hoc pipeline questions.

“Aircover's MCP Server flows your conversation, CRM, and coaching data into Claude, ChatGPT, Gemini, and more.” www.aircover.ai

Mapped capabilities

4 capabilities

AI call scoring
Scoring a call against a standard or customer-uploaded methodology with stated rationale.
Cross-call trend analysis
Identifying recurring pain points, competitive mentions, and patterns across many conversations.
Ask Aircover deal queries
Answering natural-language questions about a specific deal or pipeline slice.
Coaching insights for managers
Translating call evidence into rep-level coaching observations rather than generic advice.

Sales Methodology Frameworks

Structured qualification frameworks such as COVER and MEDDPICC applied live and extracted post-call, including gap detection.

Mapped capabilities

4 capabilities

Framework element extraction
Pulling COVER or MEDDPICC elements out of a call transcript.
Gap identification
Flagging framework elements the conversation never established.
Real-time framework reinforcement
Surfacing the relevant framework element during the live call.
Custom uploaded methodologies
Applying a customer-supplied methodology instead of a built-in one.

GTM Data Access and Trust Boundaries

How conversation, CRM, and coaching data moves outward through the MCP server, and the compliance posture governing it.

Mapped capabilities

4 capabilities

MCP server data exposure
Serving conversation, CRM, and coaching data to external assistants like Claude, ChatGPT, and Gemini.
Permission-respecting responses
Honoring who is allowed to see which accounts and deals when answering.
No-recording and regional modes
Operating where call recording is unavailable or restricted by region.
Compliance claims handling
Representing SOC 2 Type II and GDPR posture accurately without overstating it.

Coverage is mapped from Aircover's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Aircover test?+

The coverage map is generated from Aircover's own public product surface (real-time AI sales enablement / revenue copilot): 6 scoring areas — Pre-Call Account Intelligence, In-Call Real-Time Assistance, and Post-Call Automation and CRM Sync, and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Aircover evals scored?+

Every case generated for Aircover — across Pre-Call Account Intelligence and In-Call Real-Time Assistance and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Aircover library include?+

The full Aircover library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Account research briefs and Dynamic playbook selection under Pre-Call Account Intelligence); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Aircover or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Aircover areas and set them up in a Corsac workspace, where you can run every test case against Aircover or your own agent with your own data.