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Cognigy vs Wordwarewhich AI support agent should you pick in 2026?

Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).

🎧SupportAutonomousSubscription
Tool useVoiceMemoryRAG

No-code AI agent builder — design and ship multi-step LLM workflows that anyone on the team can edit.

💻CodeSemi-autonomousFreemium · from $29
Tool useMemoryMulti-agentRAG

Cognigy vs Wordware — specs

SpecCognigyWordware
Agent Rank73 / 100 (A)75 / 100 (A)
AutonomyAutonomousSemi-autonomous
PricingSubscriptionFreemium · from $29
Open sourceNoNo
CapabilitiesTool use, Voice, Memory, RAG, Multi-agentTool use, Memory, Multi-agent, RAG
Integrations5 apps4 apps
VerifiedVerified
ReleasedMar 2025Apr 2025

Categories: CognigySupport · WordwareCode

Agent Rank breakdown

Cognigy
Agent Rank
73/ 100
AA-tier
自律性
9
機能
10
連携
8
料金
4
完成度
7
検証性
6

自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?

Wordware
Agent Rank
75/ 100
AA-tier
自律性
8
機能
8
連携
6
料金
7
完成度
6
検証性
10

自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?

Pros & cons

Cognigy
メリット
  • +Forrester Wave Leader 2026 — highest combined score in Conversational AI
  • +Strong voice + chat parity (most competitors are stronger on one channel)
  • +Now part of NiCE — deep contact-center stack integration with existing CCaaS
デメリット
  • Enterprise-only — no SMB self-serve
  • Steep learning curve for low-code authoring
  • Long implementation timelines (3-6 months typical for full rollouts)
Wordware
メリット
  • +Document-like UI makes building agent workflows intuitive for non-engineers
  • +Strong template library — copy a working workflow and modify
  • +Genuinely useful for prototyping multi-step agent logic before coding it
デメリット
  • Production-grade deployments still benefit from custom code
  • Pricing tiers can be confusing as workflows scale
  • Less polished observability than purpose-built agent platforms

Pricing

Cognigy
Standard
カスタム
Mid-market
  • +Pre-built support agents
  • +Voice + chat
  • +5 integrations
おすすめ
Enterprise
カスタム
Large orgs
  • +Unlimited integrations
  • +Multi-agent orchestration
  • +On-prem option
Sovereign
カスタム
Regulated
  • +EU/US data residency
  • +BYO LLM
  • +Dedicated tenant
Wordware
Free
無料
Trial
  • +Public workflows only
  • +Community templates
おすすめ
Pro
$29/
Solo builders
  • +Private workflows
  • +Higher rate limits
  • +Custom integrations
Team
$99/
Small teams
  • +Shared workspace
  • +Role-based access
  • +API export

Which one should you pick?

Cognigy

Pick Cognigy if you want the highest autonomy and the verification loop is in place.

Try Cognigy →
Wordware

Pick Wordware if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.

Try Wordware →

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Frequently asked

Should I pick Cognigy or Wordware in 2026?+

Pick Cognigy if you want the highest autonomy and the verification loop is in place. Pick Wordware if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Cognigy for primary work and Wordware for the workflows where its specific strengths matter.

What's the price difference between Cognigy and Wordware?+

Cognigy starts at Subscription; Wordware starts at Freemium · from $29. Wordware is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.

Which is more autonomous, Cognigy or Wordware?+

Cognigy is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.

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Cognigy vs Wordware (2026): which AI support agent wins? · AI Agent Rank