IrisAgent vs Forethought: Speed to Value Without the Data Tax
Forethought needs 20,000+ tickets and months
of training before AI kicks in. IrisAgent works
out of the box — live in under 24 hours with
95%+ accuracy and no data minimums.
of training before AI kicks in. IrisAgent works
out of the box — live in under 24 hours with
95%+ accuracy and no data minimums.
Forethought needs 20,000+ tickets and months of training before AI kicks in. IrisAgent works out of the box — live in under 24 hours with 95%+ accuracy and no data minimums.
Why support teams choose IrisAgent over Forethought
AI that delivers value on day one — not after months of data collection
Fastest Time to Value
Go live in under 24 hours with no engineering resources. Forethought's real deployments take 30–90 days.
24 hrsavg. deployment
Zero Data Minimums
No need for 20,000+ tickets. IrisAgent works out of the box with whatever data you have today.
0minimum tickets
Hallucination-Free AI
Proprietary Hallucination Removal Engine validates every response. No made-up answers — ever.
95%+accuracy rate
Predictable Pricing
Transparent pricing with no hidden implementation costs. Forethought's opaque fees can double year-one spend.
$0hidden fees
IrisAgent vs Forethought: Feature-by-feature comparison
Forethought
AI Architecture
Multi-agent system with specialized AI for email, chat, voice, and copilot — all coordinating together
Configurable LLM federation with OpenAI, Anthropic, Azure, and more
Multi-agent system (Solve, Triage, Assist) but requires massive historical data to function
Locked into Forethought's proprietary orchestration — limited model flexibility
Pricing Model
Transparent, predictable pricing with no per-resolution fees
AI capabilities included — not metered or usage-gated
Opaque enterprise pricing with platform fees plus committed usage costs
Hidden implementation costs can add 1.5–2x the software cost in year one
Data Requirements & Training
Works out of the box — no minimum ticket history required
Trains on historical tickets, knowledge articles, bugs, macros, and CRM data from day one
Requires 20,000+ historical tickets for optimal AI performance
Needs a continuous minimum of 2,000 email/chat tickets per month to maintain accuracy
AI Accuracy & Hallucinations
95%+ accuracy with proprietary Hallucination Removal Engine
Every response validated against your knowledge base and real support data before delivery
Accuracy heavily dependent on quality and volume of historical ticket data
No proprietary hallucination elimination — relies on standard LLM guardrails
Setup & Time to Value
Go live in under 24 hours — no engineering resources required
Full no-code control over responses, tone, workflows, and actions
Advertised as days, but real implementations take 30–90 days
Requires dedicated technical resources and ongoing maintenance staff
AI Copilot for Agents
Built-in AI copilot with real-time resolution suggestions, response guidance, and summarization
Proactive recommendations powered by similar tickets and bug data
Assist module available but depends on having sufficient training data to be effective
Agent recommendations limited by quality of historical ticket corpus
Trending Incidents & Proactive Insights
Automatically discover trending topics and get proactive alerts on emerging issues
Real-time escalation prediction using customer health, sentiment, and revenue signals
Discover module offers some insights but requires extensive historical data first
Proactive capabilities limited without reaching minimum data thresholds
Sentiment & Escalation Analysis
AI-powered, granular sentiment analysis measured per ticket with escalation prediction
Basic sentiment analysis available but not a core strength
Works out of the box — no 20K ticket barrier
Forethought requires 20,000+ historical tickets and a continuous flow of 2,000+ monthly tickets to train its AI effectively. IrisAgent delivers results from day one using your existing knowledge base, CRM data, and whatever ticket history you have — no data prerequisites, no waiting months for the AI to learn.
95%+ accuracy without years of ticket history
Forethought's accuracy depends on the volume and quality of your historical data. IrisAgent's proprietary Hallucination Removal Engine validates every AI response against your actual data before it reaches customers — achieving 95%+ accuracy from day one, regardless of how many tickets you've accumulated.
Live in 24 hours — not 90 days
Forethought's enterprise deployments realistically take 30–90 days with dedicated technical resources for data preparation, model training, and ongoing maintenance. IrisAgent is fully no-code and goes live in under 24 hours — connect your helpdesk, let the AI train, and start automating immediately.
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