Benchside

Modules

  • Scope packageRed lines, exclusions, change-order zones
  • Interrogation kitRisk-weighted questions for the meeting
  • Architecture mapDecisions, trade-offs, lock-in
  • Session modeRun the kit live, flag answers
  • Scope-drift sentinelCatch what changed between versions
  • Negotiation playbookLeverage map + Word redline

By role

  • Procurement leadersErase the vendor's information advantage.
  • CIOs & technologySee architecture lock-in before you sign.
  • CFOs & financeKnow the true cost before it's signed.
  • Legal & GCRedline from a position of strength.
  • Security & CISOsVet the vendor's risk before it's yours.
  • AI & LLM buyersEvaluate AI vendors the old playbook misses.
  • SMBs & small teamsEnterprise-grade, right-sized to your deal.

The platform

Six agents.
One disciplined deal.

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Learn

  • GuidesPlaybooks for running a disciplined evaluation
  • FrameworksThe methods behind disciplined buying
  • CompareBenchside vs. how evaluations get done today
  • GlossaryThe terms that decide tech deals
  • TCO calculatorModel the true cost before you sign
  • FAQPlain answers about how Benchside works

Featured guide

Scope
Red line
Change order

How to evaluate
a software vendor.

Read the guide
Pricing
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Modules

  • Scope package
  • Interrogation kit
  • Architecture map
  • Session mode
  • Scope-drift sentinel
  • Negotiation playbook

By role

  • PProcurement leaders
  • CCIOs & technology
  • CCFOs & finance
  • LLegal & GC
  • SSecurity & CISOs
  • AAI & LLM buyers
  • SSMBs & small teams

Learn

  • Guides
  • Frameworks
  • Compare
  • Glossary
  • TCO calculator
  • FAQ
Pricing
Book a demo
Benchside

Buyer-side deal intelligence. Scope before vendors, interrogate after. Agents that work every deal from $5K to $5M+.

hello@benchside.ai

Product

  • The agents
  • Generate a scope kit
  • What you get
  • Word redline export
  • Pricing

Solutions

  • Procurement leaders
  • CIOs & technology
  • CFOs & finance
  • Legal & GC
  • Security & CISOs
  • AI & LLM buyers
  • SMBs & small teams

Resources

  • Guides
  • Frameworks
  • Compare
  • Glossary
  • TCO calculator
  • FAQ

Legal & trust

  • Security
  • Trust Center
  • Status
  • Subprocessors
  • Privacy
  • Terms
  • Support

© 2026 Benchside. All rights reserved.

All systems operational
Glossary

Definition

Retrieval-augmented generation (RAG)

RAG is an architecture that grounds an AI model's answers in your own retrieved documents, improving accuracy over the model's built-in knowledge.

RAG reduces hallucination but adds data-governance questions: what gets indexed, who can retrieve it, and whether access controls carry through to the answers. Treat the retrieval layer as part of your security and privacy perimeter.

Go deeperHow to evaluate an AI or LLM vendor

Related terms

Token-based pricingEU AI ActISO 42001Agentic AI
← PreviousPrompt injectionNext →Token-based pricing

From definition to deal

You know the definition.
Now see what it costs you.

Benchside turns retrieval-augmented generation into the exact questions, exclusions, and lock-in math for your specific vendor - your first project is free.

Book a demoSee the product