ResourcesComparisonsThinkTrends vs Kore.ai

For teams automating the work behind the conversation

ThinkTrends vs
Kore.ai

Kore.ai handles the conversation. ThinkTrends agents do the work behind it, tested and governed.

Kore.ai is a strong platform for virtual assistants and contact centers. But a chat or call is often where the real work starts: the case to review, the document to check, the record to fix. When that work needs governed agents, testing and sign-off, teams run it on ThinkTrends.

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Already using
Kore.ai?

Keep Kore.ai for customer conversations. Run the governed processes behind them on ThinkTrends, and call them from Kore.ai through an API.

The short answer

ThinkTrends vs Kore.ai
in 30 seconds.

Kore.ai is built for conversations. ThinkTrends is built for the work, with governance, testing and cost controls around every agent.

What you needThinkTrendsKore.ai
Agents that complete a back-office process✓Multi-step workflows with rules, approvals and a signed-off result–Designed around dialogs, intents and channels
Evaluations built into every release✓Golden sets, expert-calibrated judges and release gates for every agent version–Testing focused on conversation flows and intents
Govern every agent in one place✓Roles, approvals and a full audit trail for every agent–Admin and guardrail settings across bots and apps
Control what each agent can touch✓Scoped tools, data and secrets per agent; agents never see keys–Integrations configured per bot or app
Test a rule change before it applies✓Replay real cases against the new rule first✕Changes are tested on the conversation, not on past cases
Version everything✓Prompts, evals, agents, guardrails and tools are versioned, so you can compare and roll back–Bot versions, with less versioning for evals and guardrails
Productivity for the whole organization✓Shared processes for whole teams, with hours saved by department–Measured mainly by contained conversations
See token cost per agent and team✓Token use and cost per agent, team and run, with budgets–Usage-based pricing, with less detail per agent
Customer chat and voice across channels✓Through an assistant and an API✓Yes, one of its core strengths
Show 3 more differences
Build agents into data pipelines✓Agentic ETL pipelines orchestrate data, code, rules and agents together✕Not built for data pipelines
Show the math behind an answer✓SQL and Python results, with the records they came from–Answers come from dialogs and knowledge, not calculations
Use the AI model you choose✓Any approved model, per step✓Supports several models

Bottom lineKore.ai makes conversations faster. ThinkTrends makes the work behind them faster, with tested, governed agents and cost tracked by team.

Talk vs. do

The conversation is the front door.
ThinkTrends does the work behind it.

Kore.aiHandle the conversationThinkTrendsDo the work, governed
What it deliversAn answer, a handoff or a ticket.A finished result: a reviewed case, a checked document, a fixed record.
What happens nextThe request lands in a queue for people.Agents apply your rules to the case, step by step.
How quality is provenConversation tests and containment rates.Every version is tested against your experts before release.
Who controls itBot builders and admins.Roles, guardrails and approvals for what each agent may do.
How you measure itContained conversations.Runs, hours saved and token cost, by team.

The case for ThinkTrends

Five reasons teams
choose ThinkTrends.

When the goal is finished work your team can sign off on, not just a better conversation.

01

From conversations to outcomes

Agents that finish the back-office work

ThinkTrendsWhy teams choose it

Turn the process behind a request into a governed workflow that runs the same way every time.

  • Rules applied to every case
  • Approvals built into the flow
  • A result someone signs off on
Kore.ai

–Designed around dialogs, intents and channels

02

Evaluation & release decisions

Evaluation: your experts set the quality bar

ThinkTrendsWhy teams choose it

Test every agent version against cases your experts labelled before anyone relies on it.

  • Golden sets from real cases
  • A judge calibrated to your experts
  • Releases blocked if quality drops
Kore.ai

–Testing focused on conversation flows and intents

03

Agentic governance

Governance and agent controls in one place

ThinkTrendsWhy teams choose it

Decide exactly what each agent can see, use and do, and test rule changes on real cases first.

  • Role-based access per agent
  • Scoped tools, data and secrets
  • A full audit trail
Kore.ai

✕Rule changes can’t be replayed on past cases first

04

Agent infrastructure

A harness, a control plane and versioning

ThinkTrendsWhy teams choose it

Build, run and roll back agents on infrastructure made for work, not dialogs.

  • Versioned prompts, evals and guardrails
  • Agentic ETL pipelines
  • Secure runtimes and secrets
Kore.ai

–Bot versions, with less versioning for evals and guardrails

05

Organization productivity

Productivity and cost you can measure

ThinkTrendsWhy teams choose it

See hours saved and token cost by agent, team and run, so you scale what pays off.

  • Hours saved by department
  • Token cost per agent and run
  • Budgets and alerts
Kore.ai

–Measured mainly by contained conversations

Make the case internally

Choose ThinkTrends when
the work starts after the conversation.

For the people building it

  • Turn a back-office process into a tested, shared workflow.
  • Use live data, SQL, Python and your own tools.
  • Version prompts, guardrails and tools, and roll back.

For the people approving it

  • Approve rules and releases before they go live.
  • See the evidence behind each decision.
  • Track quality, hours saved and cost by team.

Common questions

When conversation isn’t enough.

What is the difference between ThinkTrends and Kore.ai?

Kore.ai is built for customer and employee conversations: virtual assistants, contact center automation and chat and voice across many channels. ThinkTrends is agentic AI infrastructure for the work behind those conversations, such as reviewing cases, checking documents and reconciling records, with evaluations against your experts, agent controls, versioning and token cost by team built in.

Is a conversational AI platform the right tool for back-office processes?

Usually not on its own. Conversational platforms are designed around dialogs, intents and channels. Back-office processes need multi-step workflows, live data, rules applied to every case, approvals and a result someone signs off on. ThinkTrends is built for that, and can be triggered from a conversation through an API.

How do we prove an AI agent is accurate before it goes live?

ThinkTrends grades every agent version on golden sets your experts labelled, calibrates the automated judge to those experts and blocks any release that scores worse than the current one. Quality is proven before customers or reviewers rely on it.

How do we control what each AI agent is allowed to do?

Every ThinkTrends agent has its own identity, role-based access, scoped tools and data, and secrets it never sees. Rule changes are tested on real cases before they apply, and every action is written to an audit trail.

Can we track AI cost by agent and team?

Yes, in ThinkTrends. Token use and cost are tracked per agent, team and run, with budgets and alerts, alongside hours saved, so you can see which agents pay for themselves.

Can we keep Kore.ai and add ThinkTrends?

Yes. Keep Kore.ai for customer conversations and the contact center. Use ThinkTrends for the governed back-office processes behind them, and call ThinkTrends workflows from Kore.ai through an API.