Answer · Retrieve · Prepare · Act

Give employees a source-cited way to find trusted knowledge, retrieve current business facts, and—when appropriate—prepare or complete controlled work.

Follow the authority path
Architecture before interface

Price the system by what it is authorized to know, access, propose, and change—not by the number of chat windows it contains.

RAG retrieves approved company knowledge. APIs provide current structured facts. MCP exposes approved tools to AI systems. The assistant or agent interprets the request and coordinates only those approved capabilities.

Human approval remains mandatory wherever the business consequence requires it, and authoritative source systems remain authoritative.

01Employee requestA person asks a question or starts a defined task.
02Approved knowledge through RAGPermission-aware retrieval supplies source-grounded context.
03Current facts through APIsLive systems provide approved structured information.
04Governed tools through MCPFixed tools expose only authorized capabilities.
05Assistant or agent reasoningThe system interprets the request within its limits.
06Answer, draft, approval request, or controlled actionAuthority determines what the system may produce or do.
07Audit and verificationEvidence records what happened and confirms the result.
Start bounded. Expand with evidence.

Choose the authority the work actually requires.

Two fixed-price definition engagements establish the first build. Production assistants, agents, integrations, and platforms are then scoped as milestone-based implementation against explicit systems, permissions, controls, and acceptance tests.

DEFINE

Internal Assistant & Agent Blueprint

Turn a broad internal-chatbot or agent idea into a defined, testable pilot.

2–4 weeks$15,000 fixed

Outcome

An implementation-ready definition of who will use the system, what it must know, what it may access, how answers and actions will be evaluated, and what the first pilot must prove.

Typical scope

  • Primary employee group and ten to twenty priority questions or tasks
  • Existing chatbot or Copilot implementation issues
  • Knowledge-source inventory, ownership, and freshness
  • RAG, citation, interface, authentication, and permission requirements
  • Evaluation dataset, security requirements, and pilot acceptance criteria
  • Implementation schedule and final pilot proposal

Fixed boundary

One primary use case, one primary employee group, up to three source systems or knowledge collections, up to five stakeholder interviews, one pilot recommendation, one findings presentation, and one revision. Production development, data remediation, custom integrations, security certification, and third-party fees are separate.

A paid blueprint replaces a vague chatbot request with a testable product boundary.

Define an internal assistant
ARCH

Connected Agent Architecture

Design an agent that combines company knowledge, live business data, approved tools, permissions, and human approval.

4–6 weeks$25,000 fixed

Outcome

A complete architecture for an operational agent or multi-system assistant, including its knowledge, tools, authority, security, evaluations, deployment model, and implementation milestones.

Typical scope

  • RAG architecture and live API or database access
  • MCP tool definitions and input-output schemas
  • User, department, organization, and agent identity
  • Read, draft, approval, and transaction authority
  • Audit, monitoring, failure, and recovery behavior
  • Model policy, stage gates, hosting, support, and milestone proposal

Fixed boundary

Up to two employee groups, three connected systems, eight stakeholder interviews, one defined agent or workflow family, one architecture readout, and one revision. Production development, source-system changes, data remediation, penetration testing, and external provider costs are separate.

Use this when the system must combine knowledge, live facts, or controlled tools.

Architect a connected agent
ASSIST

Internal Knowledge Assistants & Chatbots

Give employees a conversational way to search approved company knowledge and receive answers supported by the original sources.

Controlled pilotScoped after paid blueprint

Employee experience

  • Web-based employee chat and conversation history
  • Source citations and supporting-document view
  • Unsupported-answer refusal and user feedback
  • Controlled pilot deployment

Governed system

  • Permission-aware retrieval and administrative controls
  • Evaluation dataset and answer-quality testing
  • Usage analytics
  • Knowledge freshness and synchronization

Examples & boundary

Product and technical support, SOP and policy assistance, employee training, sales support, purchasing and supplier-document assistance, claims and returns guidance, and internal company knowledge.

The assistant answers and explains. It does not automatically change operational systems.

The chatbot is the interface. The actual product is the governed knowledge, permission, retrieval, citation, evaluation, and operating system behind it. See the RAG foundation.

Plan a knowledge assistant
READ

Read-Only Operational Agents

Combine source-grounded knowledge with current business information from approved systems.

Bounded operationsScoped after paid architecture

Capabilities

  • RAG retrieval
  • Live API or governed database reads
  • Fixed MCP or tool registry
  • Authentication and role scoping
  • Tool-call audit history

Operational controls

  • Tenant, organization, user, and role boundaries
  • Current-state responses
  • Evaluation and monitoring
  • Bounded calls, runtime, tokens, and cost

Examples & boundary

Retrieve current inventory, order or shipment status, open purchase orders, product comparisons, and customer or supplier history—while combining policy documents with current facts.

No writes, destructive actions, or changes to authoritative systems.

Useful when employees need current answers without giving the agent transaction authority.

Design a read-only agent
APPROVE

Approval-Gated Workflow Agents

Prepare operational work while keeping consequential decisions under explicit human control.

Human-controlled actionScoped after paid architecture

Workflow

  • Draft creation and action preview
  • Human approval and role checks
  • Material-change summaries
  • Reapproval after changed price, quantity, dates, or substitutions

Controls

  • Duplicate-action prevention
  • Complete audit history
  • Read-back after approved actions
  • Failure and recovery handling

Examples & boundary

Draft customer responses, quotes, purchase orders, product records, catalog corrections, claim or credit requests, substitutions, and exception cases.

Each write or approval capability requires a separately reviewed and validated capability profile; it is not assumed to be part of the current standard Forge profile.

The agent prepares. An authorized person remains responsible for consequential approval.

Design an approval-gated agent
ACT

Transactional & High-Authority Agents

Engineer agents that can make authorized changes in business systems with transaction-grade controls.

High authoritySeparately scoped and validated

Authority controls

  • Fine-grained authorization and explicit action policies
  • Idempotency, replay protection, and duplicate prevention
  • Security testing and independent QA

Operational proof

  • Transaction reconciliation and read-back verification
  • Rollback or compensating procedures
  • Detailed audit history and written acceptance tests
  • Incident and recovery procedures

Examples & boundary

Submit or update an order, post a shipment notice, update a product or account record, create a refund or credit, or change an allocation.

These are not generic chatbot projects. They are production transaction and workflow systems with an AI interface, and they require dedicated architecture, security, testing, and operating controls.

Every consequential action is designed around explicit authority and verifiable system behavior.

Scope a transactional system
NETWORK

Multi-Agent & Multi-Department Platforms

Coordinate several specialized assistants or agents through one governed identity, knowledge, tool, policy, and monitoring layer.

Enterprise architecture engagementSeparately scoped

Possible agents

  • Product-information, sales-support, and customer-service agents
  • Purchasing, catalog, and receiving-discrepancy agents
  • Training and executive-reporting agents

Shared foundation

  • Identity, tenant isolation, knowledge services, and tool registry
  • Permission model, approval engine, routing, and agent handoffs
  • Monitoring, evaluation, administration, and emergency disabling

Boundary

Multi-agent orchestration is separately designed and validated. It is not the current default Forge generation profile.

Appropriate only when several departments or specialized responsibilities justify a shared platform.

Architect a multi-agent platform
Current Thryve capability boundary

Built honestly around current capability.

Thryve’s current standard Forge agent profile supports one synchronous, fixed-tool, read-and-retrieval agent with request-scoped memory, required citations, least-privilege access, tenant isolation, usage budgets, evaluations, and verifiable release evidence.

Write authority, persistent memory, dynamic tool discovery, browser or computer control, sub-agents, agent handoffs, and multi-agent orchestration require separately designed and validated capability profiles.

NOWRead and retrieveOne synchronous agent, one fixed tool registry, request-scoped memory, citations, budgets, evaluations, and evidence.
NEXTDraft, approve, transact, or coordinateEach higher-authority profile is separately designed, reviewed, tested, and validated.
PROOFVerified in productionA production-verified procurement-agent release passed all 17 authoritative live conformance checks.
Commercial operations

The build and the operating model are separate decisions.

A production assistant or agent is not sold as a one-time chatbot file. It is an operating system that requires defined knowledge, integrations, monitoring, evaluation, maintenance, and support.

01Platform licenseThe reusable Thryve software and governed agent foundation.
02Managed hostingInfrastructure, deployment, backups, and environment operations.
03Monitoring and supportHealth monitoring, incident response, defined support coverage, and maintenance.
04Variable usageAI models, OCR, storage, vector infrastructure, messaging, voice, cloud, and other third-party consumption.
Start with authority

Define what the system may know and do.

Tell us who needs help, what information they trust, which systems matter, and where a human decision must remain in control.

Start a conversation

Or email james@thryve-ai.io directly.