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Decision AI

Decision AI — a voice-first AI simulation platform helping managers practice high-stakes business decisions under pressure.

Role

Product Designer

Year

2026

Platform

Web — Desktop & Mobile

The Problem

Managers are expected to make important decisions quickly, often with incomplete data, competing priorities, and stakeholder pressure. Workplaces are moving faster, and there is less time to analyse, align, and decide.

Companies need employees who can interpret business data quickly, defend their reasoning, and handle pushback from senior stakeholders — while balancing short-term and long-term consequences.

Today, most decision-making capability is built through real-world experience. That is slow, inconsistent, and risky.

Learners rarely get a safe way to practice business judgment, make mistakes, see consequences, and improve before the stakes are real.

The Concept

A safe room to practice the decisions that actually carry consequences.

Decision AI is a voice-first simulation, not a chatbot. Learners enter a realistic corporate scenario, review case data, and hold a live voice conversation with an AI manager or stakeholder who challenges, questions, and pressures them the way a real executive would.

Every decision branches into a consequence, and every session ends in a structured debrief on judgment, reasoning, trade-offs, and decision quality — built for enterprise clients training mid-level and senior managers.

Decision AI vs. Convo AI

Our existing Convo AI product trains the behavioral layer — how to handle a conversation. Decision AI trains the business layer — how to read data, weigh trade-offs, push back, and commit to a defensible call with a senior stakeholder.

DimensionConvo AIDecision AI
Training LayerBehavioral — conversation qualityBusiness — judgment, reasoning, trade-offs
AI BehaviorResponds to learner dialogueChallenges, questions, and pressures the learner
FeedbackMostly behavioralDecision quality, business impact, risks, consequences
Conversation FlowContinues smoothlyChoices create branching consequences
Best ForSoft skillsBusiness, leadership, strategy, risk, management capability

Target Users

Mid-Level Managers

Frequently make team, client, operational, or business decisions. Own execution and short-to-medium-term outcomes, need to balance speed with accuracy, and often face stakeholder pressure. May struggle with ambiguity or incomplete data, and need practice defending recommendations as they grow into stronger leadership roles.

Senior Managers

Make higher-impact decisions across teams, clients, or business units. Comfortable with complexity but still need sharper judgment on decisions involving revenue, risk, clients, and strategy. Need to influence stakeholders while staying accountable, and expect a premium, credible enterprise experience.

What Learners Need

Learners need to

  • Understand the business scenario quickly
  • Review relevant data without feeling overwhelmed
  • Practice making decisions under realistic pressure
  • Be challenged by an AI manager or stakeholder
  • See the consequences of their choices
  • Learn what they did well and what they should improve
  • Leave with clear action items

The Learner Journey

Each stage carries a distinct emotional posture, and the design escalates that posture from screen to screen.

01

Briefing

Curious, settling in. The design feeling is cinematic and inviting — a moment to orient before the pressure begins.

02

Caselet

Focused, absorbing. Editorial, dense-but-clean — data is presented like a dossier, not a dashboard.

03

Gameplay

Engaged, slightly pressured. Charged, present-tense, in-the-room — the learner feels like they're actually in the meeting.

04

Debrief

Reflective, vulnerable, hungry for clarity. Constructive, structured, premium-report — consequences resolve into insight.

Gameplay — Inside the Simulation

The gameplay screen is a three-panel layout, each panel carrying a different weight and a different job.

Left — Caselet & Data

Always available but visually recessive relative to the center — lower contrast, smaller scale, a 'paper' feel. It's the dossier on the table, not the conversation. Collapsible and expandable so a learner can pull data forward when needed, with sticky tabs across multiple data views.

Center — Conversation

The visual hero — where the learner spends 80% of their attention. AI turns are named and role-tagged ('Priya Menon, CFO') and read with authority. Three switchable input modes: voice (primary), text, and AI-offered multiple-choice. Voice state — idle, listening, transcribing, AI thinking, AI speaking — is always visually obvious. MCQ convergence moments are treated with the gravity of a submit, not a casual tap.

Right — Meeting Room

Visualises the AI manager, stakeholders, and the learner, and communicates who is speaking right now. Stylised avatars and abstracted presence cards over literal video-call mimicry, with subtle ambient motion when the AI is thinking or speaking. This panel earns its place by reinforcing 'I am in a meeting, not in a chatbot.'

Desktop

TBT briefing introduction screen. Slide 1 of 7.

Showing slide 1 of 7: Briefing

Briefing

01 / 07

Mobile

TBT mobile briefing intro screen. Slide 1 of 7.
Intro
Mobile conversation page, caselet and metrics tab. Slide 2 of 7.
Caselet Tab
Mobile conversation page, interaction tab. Slide 3 of 7.
Interaction Tab

Showing slides 13 of 7

01 / 03

Debrief

The debrief resolves the session's tension. Where gameplay is charged and present-tense, the debrief is reflective and structured — a premium report on performance, cognitive insight, session playback, and strategic next steps.

Desktop

Desktop debrief simulation summary. Slide 1 of 6.

Showing slide 1 of 6: Simulation Summary

Simulation Summary

01 / 06

Mobile

Mobile debrief overall performance report. Slide 1 of 5.
Overall Performance
Mobile debrief cognitive insight. Slide 2 of 5.
Cognitive Insight
Mobile debrief detailed feedback. Slide 3 of 5.
Detailed Feedback

Showing slides 13 of 5

01 / 02

Defensible Position

Judgment, Not Just Conversation

01

Judgment Over Dialogue

Trains business reasoning and trade-offs, not conversational fluency. The AI challenges and pressures the learner rather than simply responding to them.

02

Consequential, Not Conversational

Choices branch into real outcomes. Where Convo AI lets a conversation continue smoothly, Decision AI doesn't let you off easy — every call has weight.

03

Enterprise-Grade Presence

A premium, credible experience built for senior-manager stakes — composed and consequential, distinct in personality from Convo AI's warmer tone.

Same brand family as Convo AI, distinct product personality. If Convo AI is warm and conversational, Decision AI is composed and consequential.

Visual Direction

Palette — deep neutral base with one confident accent, plus a restrained semantic system: measured amber for pressure, calm green for resolution, sharp red used sparingly for hard consequences
Typography — modern sans-serif for UI, with a refined serif accent considered for the debrief's headline verdict
Imagery — abstract over literal, geometric and data-led, avoiding stock-photo executives shaking hands
Motion — purposeful, never decorative, belonging only to voice activity, AI thinking, and branch transitions

Boardroom, not bootcamp — sophisticated and slightly serious, with moments of energy. An exploratory direction, designed to feel composed and consequential, distinct from Convo AI's warmer, more conversational personality.