Conversations are hard to standardize
Every team member improvises. Quality depends on who happens to be on the call.
A FounderMitra AI practice product
by FounderMitraPractice high-stakes conversations before they happen.
Mettle helps teams rehearse sales, support, leadership, interview, compliance, and knowledge-based conversations with AI counterparts, evidence-backed feedback, and manager review.
Built by FounderMitra for practical AI adoption, training, and workflow enablement.
Voice + textKnowledge grounded
AI counterpart
Priya · Ops Director
Cautious buyer · time-pressed
Priya
We already tried a LMS. Why would managers use this when a live call starts slipping?
Participant
Because practice runs against your SOP and rubric — then managers review evidence, not another slide deck.
Review before send
Voice transcript editable · browser speech signals tracked
Evidence panel
Overall readiness
78
Discovery depth84
Objection control71
Next-step clarity80
Evidence quote
“practice runs against your SOP and rubric” — maps to linked coaching playbook §2.
Suggested better response
Acknowledge prior LMS fatigue, then ask which coaching moment fails most often before pitching features.
Why Mettle
Teams should not practice for the first time with a real client.
Managers cannot coach every live call
Real-time coaching does not scale across sales, support, and people teams.
Feedback is often subjective
Scores without transcript evidence leave people unsure what to change.
Training material rarely becomes practice
Policies and playbooks stay unread until someone needs them in a live moment.
Mettle turns scenarios, knowledge, and rubrics into repeatable AI practice loops.
What Mettle does
One practice system for real business conversations.
Sales discovery
Practice qualification, objections, stakeholder mapping, and next-step control.
Customer support
Rehearse troubleshooting, de-escalation, and resolution against your SOPs.
Leadership conversations
Prepare for feedback, coaching, and difficult stakeholder dialogues.
Interview practice
Run behavioral and role-specific interviews with consistent evaluation criteria.
Compliance conversations
Practice policy explanations and regulatory dialogue before audits.
Knowledge checks
Assess whether teams understand policies, SOPs, product material, or internal knowledge.
Negotiation
Pressure-test deal conversations, trade-offs, and commercial next steps.
Custom simulations
Configure bespoke AI counterparts, rubrics, and knowledge for your workflows.
How it works
From scenario design to coached improvement.
01
Design the scenario
Admins define the participant role, AI counterpart, conversation goal, behavior, rubric, and linked knowledge.
02
Assign the practice
Send simulations to individuals or teams with attempt limits and clear expectations.
03
Run realistic practice
Participants interact by voice or text with a configured AI counterpart.
04
Review with evidence
Managers see scores, transcript evidence, delivery signals, coaching notes, and downloadable transcript exports.
Evidence-backed feedback
Feedback that shows why a score was given.
Every important score should connect back to transcript evidence, campaign rules, or linked knowledge. Delivery signals come from browser speech and session timing — not emotion or personality detection.
Session review
Sales discovery · Attempt 2
Score breakdown
- Discovery depth84
- Objection control71
- Next-step clarity80
Delivery signals
- Response start delay ~4.2s
- Longest in-response pause ~2.8s
- Transcript export ready
Missed behavior
Jumped to product framing before confirming the manager's highest-friction coaching moment.
Suggested better response
“Before I walk through features — when a live call starts slipping, what do managers usually miss first: diagnosis, script, or follow-up?”
Grounded in linked knowledge · exportable with transcript evidence
FounderMitra
Built as part of FounderMitra's AI transformation practice.
FounderMitra helps founder-led companies and teams simplify technology decisions, redesign workflows, and adopt practical AI systems. Mettle is our AI practice layer for teams that need repeatable training, assessment, and coaching.
AI workflow design
Map decisions and handoffs before automating them.
Productized training systems
Turn tribal knowledge into repeatable practice loops.
Knowledge-grounded copilots
Keep AI responses tied to your documents and rules.
Evidence-backed operations
Measure readiness with transcript-linked feedback.