Forethought vs Kore.ai (2026)

Forethought connects to helpdesks, knowledge bases, CRM and API management platforms, with more than seventy integrations spanning contact centers and connector platforms including Airtable and Snowflake, and Autoflows reason through business policies to take authenticated action, not hand a suggestion back. Where no API exists at all, Browser Agent completes the workflow directly, so the action surface is not bounded by what partners expose.

Sourceforethought.ai/platformread 2026-09-05

The tools and integrations layer connects outside systems over HTTP, MCP, AWS Lambda, SDK invocations, the A2A protocol, sandboxed tools, OpenAPI definitions and webhooks, with circuit breakers and retry logic. Data sources such as Salesforce, SAP, Microsoft, VMware and Zendesk are reached through tool definitions, so none of them is built into agent logic.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Autoflows is Forethought's agentic reasoning engine. It takes business logic in natural language, not a decision tree, and reasons through complex policies to resolve an issue end to end. Four agents hand off to each other in a set sequence. Discover generates the Autoflows, Solve detects intent and resolves, Triage tags and routes what needs a person, and Assist surfaces the right Autoflow to the human agent who picks it up. Browser Agent executes the steps no API can reach.

Sourceforethought.ai/platformread 2026-09-05

Four orchestration patterns are invoked through ABL constructs and enforced by the runtime. They include parallel fan out with barrier synchronization, asynchronous delegation that survives pod restarts, and turns carrying several intents that map to several agents.

Supervisor routing arbitrates handoff and delegation, a pipeline classifier skips the reasoning loop for intents it recognizes with high confidence, and the Google A2A protocol carries communication to agents hosted on other runtimes. The runtime's two engines execute agentic reasoning and deterministic flows in parallel from one definition.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Work reaches the agent from any channel. Solve resolves across chat, email, voice, SMS, Slack and in-app, with email answered instantly, phone calls handled end to end, embedded chat, and internal Slack support, and Triage picks up tickets arriving in the helpdesk queue and routes them onward.

Sourceforethought.ai/platformread 2026-09-05

Agents deploy across 27 channels covering web, voice, messaging, email and enterprise APIs, among them Microsoft Teams, ServiceNow, Slack, Webex and Zoom, with consistent behavior and no rebuilding for each channel.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Forethought connects to a brand's helpdesk, knowledge base and CRM and learns from its historical support data from day one, with Discover generating Autoflow policies and help center articles from that corpus and Solve answering with the right Autoflow or knowledge base article. There is no stated index, embeddings layer, retrieval architecture, refresh behavior or source-level citation, so a maintained retrieval structure is claimed but not shown. The per-customer fine-tuned models are training, not retrieval.

Sourceforethought.ai/platformread 2026-09-05

Search AI is the platform's knowledge retrieval layer, providing RAG, vector search, knowledge graph traversal and reranking to surface context to agents as they reason. The customer configures it and the platform maintains it, and the retrieval pipeline comes with guidance on model selection, chunking and context window sizing.

SourceKore.ai Agent Platform and Search AI documentation; docs.kore.ai/agent-platformread 2026-09-05

There is no stated memory layer with a scope or lifetime. The platform is trained on a brand's historical support data from day one to generate Autoflow policies and surface knowledge gaps, which is training and retrieval over a corpus, not state the agent retains between sessions. The published agent set names Solve, Triage, Assist and Discover with no memory component among them.

Sourceforethought.ai/platformread 2026-09-05

Memory is a formal construct in Agent Blueprint Language alongside goals, tools and guardrails, executed against a shared memory layer that coordinates state across both cognitive engines. Session Meta Memory is managed by the system.

Custom Memory Stores are persistent and structured with JSON Schema, and each takes a scope: one user across all of that user's sessions, a single session that clears when it ends, or the whole application. A retention policy sets each store to last a session, a day, a week or a month, and tools read, write and delete store content at run time. Shared stores pass structured context between agents.

Sourcedocs.kore.ai agent platform memory stores guideread 2026-10-25

The gate before an action sits in Forethought's own product, in two forms. Browser Agent runs only inside pre-approved policies with encrypted credentials and human-in-the-loop checkpoints, with approval steps configurable per workflow, so the customer decides which browser actions the agent may take unattended. Alongside that sit configurable escalation paths and an approval workflow in which Assist drafts a response and a person approves before it is sent.

Sourceforethought.ai/webinars/ai-that-clicks-for-you-automate-76-percent-of-cx-work-apis-cant-reachread 2026-09-05

The Workflow Engine runs workflows lasting minutes to days, with built in steps where a person reviews the work and approval gates that hold it until someone signs off. Guardrails are a core ABL construct enforced outside the model, the runtime carries guardrails in several tiers with circuit breakers and rate limits, and supervisor routing checks those guardrails, so the runtime overrides an agent's chosen route when policy requires. Arch AI hands its work products to a person to review and never applies them silently.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

The platform is independently audited and certified for security, availability and confidentiality, with annual SOC 2 Type II audits, controls aligned to NIST 800-53, HIPAA, GDPR and CCPA, encryption at rest and TLS in transit, production secrets managed in AWS tooling, a DPA reflecting GDPR and CCPA, security-design reviews, threat models, regular third-party penetration tests, a named Data Protection Officer, a HackerOne bug bounty, a trust center at trust.forethought.ai, and a fully published subprocessor table naming each processor's identity, purpose and location.

Automated redaction removes PII, PHI and financial data at ingestion with the original securely deleted within 24 hours. Forethought reports ISO 27001 compliance and SOC 2 certification, and it is not FedRAMP certified. Role based access is claimed on the platform page but not repeated on the security page or in the legal documents.

Sourceforethought.ai/platform/securityread 2026-09-05

Security and governance include SSO, role based access control, guardrails, audit logging, encryption, key management, multitenancy with full tenant isolation, PII detection, identity verification and compliance reporting, on an enterprise foundation carrying PCI, SOC 2, GDPR and FedRAMP certification, with handling for the right to erasure and data minimization controls.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Discover surfaces insights across all support interactions and detects where the agent is failing, Triage gives CX leaders real-time visibility into agent performance and coaching opportunities, and audit trails and automatic redaction of personal, health and financial data at ingestion are in place. This reports on outcomes and content gaps, not on the run. There is no stated step-level decision trace, tool-call log, Autoflow execution record or retrieval log, which matters more on a product whose Browser Agent clicks and types inside third-party systems.

Sourceforethought.ai/platform/triageread 2026-09-05

Observability follows the agent's reasoning, capturing every reasoning step, tool call, routing decision and guardrail evaluation as structured trace data across chains of delegated agents. Deep Observability records over 200 trace events per session and provides runtime inspection, alerting and debugging of each session across interactions between agents.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Every core processor that hosts customer data sits in the United States. Amazon Web Services, MongoDB, Microsoft Hosting Services and Google are all listed as web hosting in the United States, with Cloudflare, OpenAI, Groq, Mistral and Pusher likewise, and only Datadog for logging and Snowflake for warehousing add Germany. The subprocessor table names each location.

There is no stated region menu, residency commitment, VPC, single-tenant or self-hosted option, and the security page, which covers compliance, encryption, product design, training, oversight, PII handling, FedRAMP scope and HIPAA in detail, does not address residency. A customer with an EU or UK residency requirement can see the answer and cannot change it.

Sourceforethought.ai/data-subprocessorsread 2026-09-05

Kore.ai runs as cloud SaaS or self hosted for organizations with data residency or compliance requirements, with the same platform capabilities either way. The infrastructure layer plugs into Microsoft Azure, Google Cloud, AWS, on premises installations and private VPC deployments, so the customer chooses where the platform runs.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Prebuilt agents come as a named set the customer adopts as units, each with its own product page. They are Solve for end-to-end customer resolution, Triage for classification and routing, Assist as an in-helpdesk copilot, Discover for gap detection and content generation, plus Browser Agent and Voice. Discover also generates Autoflows from a brand's own history, so the customer starts with populated workflows, not a blank builder.

Sourceforethought.ai/platformread 2026-09-05

The AI agent marketplace offers named prebuilt agents across banking (ATM Locator, Dispute and Fraud Handler), retail (Product Search, Order Management), HR (Absence Management, Screening Agent), IT (Incident Management, Access Management), sales (RFP Response Automation, Lead Analyzer), legal and finance (Contract Amendment Assistant) and customer service (Escalation Predictor, Contextual Email Responder), installed with one click. Marketplace agents import with their predefined tools and workflows, and any component can be edited afterwards.

SourceKore.ai AI agent marketplace and Create an Agent from Marketplace documentation; docs.kore.ai/agent-platform/agents/create-from-marketplaceread 2026-09-30

OpenAI, Groq and Mistral are listed as subprocessors under AI Models, alongside Gladia and Deepgram for speech recognition and ElevenLabs and Cartesia for text to speech on the voice product. The platform runs across several providers, not one, and its per-customer fine-tuned models sit on top of that mix. Cloudflare, AWS, MongoDB, Microsoft and Google on the same table are infrastructure, not model providers. The routing is vendor-internal and no model selection, override or bring-your-own-model control is exposed to the customer.

Sourceforethought.ai/data-subprocessorsread 2026-09-05

Every layer of the ecosystem is pluggable, so the customer swaps providers without rewriting agents. Supported models include OpenAI, Anthropic, NVIDIA, Cohere and LLaMA 2 among others, and open source and custom fine tuned models work through the same interface. A models library lets an admin add a new model or a custom integration, models hosted by a third party or by the enterprise itself can be brought in, each feature can be assigned its own model, and an analytics dashboard reports token distribution, latency and cost per model connection.

SourceKore.ai Agent Platform and Generative AI model documentation; docs.kore.ai/agent-platformread 2026-09-05

A Headless channel ships as a named product surface for embedding the agent into a customer's own systems, alongside a mobile SDK for in-app chat, an Assist browser extension delivered into the helpdesk, and connector integrations reaching API management platforms, with code and no-code deployment paths. There is no published API reference, SDK documentation site or MCP server for Forethought's own platform, so the headless surface is named as a capability but not documented as one.

Sourceforethought.ai/channels/headlessread 2026-09-05

Agent Blueprint Language is a typed language driven by schemas, compiled from DSL to intermediate representation to runtime, with definitions stored in Git as diffable YAML, reviewed in pull requests and promoted by the same CI/CD practices as application code. The tools layer exposes HTTP, MCP, SDK invocations, OpenAPI, webhooks and the A2A protocol for communication with agents on other runtimes, including agents hosted outside the platform.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

The Discover agent runs an improvement loop after deployment. It analyzes a brand's support data, surfaces knowledge gaps, and generates both help center content and new Autoflows to close them, so live performance feeds back into what the agent can resolve. The QA Agent, a named product at forethought.ai/platform/agent-qa, scores 100 percent of human agent tickets, not the AI agent's own behavior, and there is no stated simulation environment, scored test suite or evaluation harness for the customer's own agent.

Sourceforethought.ai/platform/agent-qaread 2026-09-05

Agent Evals is an automated evaluation framework for the customer's own agents, with test suites, regression tracking and quality gates that run as part of the deployment pipeline, and the results decide whether an agent is promoted. The environment pipeline routes every agent through a staging tier where automated suites and regression checks run before a pilot tier validates behavior on limited real traffic. Validation at compile time catches broken references before deployment.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05

Browser Agent drives a real interface itself. It logs in, clicks, types and completes the same browser-based workflows human agents run today, using pre-approved policies and encrypted credentials, and Forethought aims it at the work that APIs cannot reach.

Sourceforethought.ai/webinars/ai-that-clicks-for-you-automate-76-percent-of-cx-work-apis-cant-reachread 2026-09-05

Agents reach outside systems only through the tools layer (HTTP, MCP, Lambda, SDK, A2A, OpenAPI and webhooks) and reach users through 27 programmatic channels. They do not drive a browser, a virtual desktop or software that lacks a programmatic interface.

SourceKore.ai Agent Platform documentation; docs.kore.ai/agent-platformread 2026-09-05