AI AGENTS & KNOWLEDGE SYSTEMS
TURN BUSINESS KNOWLEDGE INTO USEFUL ACTION.
Hubflow builds secure, task-focused AI agents and knowledge systems that help teams find approved information, complete repeatable work and escalate decisions that need human judgement.
PRACTICAL AI FOR INTERNAL AND CUSTOMER WORKFLOWS
Systems That Know Where to Look—and What They Are Allowed to Do.
Internal Knowledge Assistants
Help employees search approved policies, guides, procedures and business documents through natural-language questions.
Customer Knowledge Systems
Deliver grounded answers from approved product, service and support information while escalating unsupported requests.
Task-Focused AI Agents
Interpret an approved request, use connected tools and complete a defined multi-step task within configured limits.
Research & Briefing Workflows
Collect permitted information, organise findings and prepare a structured briefing for human review.
Knowledge Retrieval for Existing Products
Add semantic search, contextual answers or approved document retrieval to an existing website, portal or SaaS platform.
Multi-Agent Workflows
Coordinate specialised agents only where separating research, validation, drafting or routing genuinely improves the process.
Clarification: We use predictable automation for fixed rules and AI only where interpretation or retrieval adds value.
INTERACTIVE DEMO
Turn Business Knowledge Into Clear Answers.
Explore how an AI agent finds relevant information in approved documents, answers with source references and identifies when a question needs human input.
Start With What Your Team Needs to Know.
Choose a sample question to explore the knowledge workflow.
Choose a question to start the knowledge workflow.
This preview uses fictional documents and predefined responses to illustrate a knowledge workflow. Knowledge sources, access permissions, update processes and approval rules are agreed during setup. The demo advances only when you make a selection or use the navigation controls. No live documents are searched and no external actions are performed.
DESIGNED AROUND THE USE CASE
The Building Blocks of a Reliable Knowledge Workflow.
Approved-source ingestion and organisation
Systematic ingestion, structuring and indexing of approved documentation, policies and knowledge records.
Semantic search and contextual retrieval
Natural-language understanding to pinpoint and extract contextually relevant information by meaning.
Source references or citations where supported
Traceable references and source links provided alongside generated answers to verify underlying evidence.
Role-based information access
Granular permission boundaries ensuring sensitive knowledge is restricted only to authorized user groups.
Tool and API actions within defined permissions
Executing permitted system lookups, updates and multi-step actions within strictly configured parameters.
Structured output and document generation
Producing structured briefings, formatted summaries, draft communications and operational records.
Confidence, stopping and escalation rules
Explicit boundary thresholds that halt automation and route uncertain or sensitive inquiries to team members.
Feedback and evaluation workflows
Continuous quality tracking and user feedback loops to refine prompt performance and retrieval relevance.
Activity logging and technical monitoring
Comprehensive execution logs, error tracking and system health diagnostics to support ongoing auditing.
Limitation Line: Access to a source does not make every answer accurate. High-impact outputs should remain subject to human review.
CONNECTED WITHOUT UNRESTRICTED ACCESS
Use the Right Sources and Tools for the Role.
We assess your approved knowledge sources, user permissions and the tasks your agent needs to handle before recommending an AI model and retrieval setup. Supported documents, databases and business tools are connected within agreed access boundaries, with response quality and operating costs considered from the start.
Approved Knowledge Sources
Your team decides exactly which documents, databases, portals and cloud repositories the system is permitted to use.
User Access Governance
Granular role-based controls defining which internal teams or external users can access specific knowledge collections.
Permitted Agent Actions
Explicit boundary rules establishing which tool lookups, drafts, records or multi-step API actions the agent may perform.
Strict Data Redaction
Strict guardrails enforcing which confidential, regulated or sensitive records must never be sent to an external AI provider.
Human Review & Escalation
Automated escalation criteria directing uncertain, low-confidence or sensitive decisions to a designated team member.
Cost Note: Model usage, vector storage, hosting and third-party subscriptions are separate unless expressly included.
BUILT FOR KNOWLEDGE-HEAVY TEAMS
A Strong Fit When Information Exists but Is Difficult to Use.
Operations Teams
Find procedures and complete routine internal requests without searching across disconnected documents.
Support & Success Teams
Retrieve consistent product or policy information before responding to customers.
Sales & Account Teams
Access approved service, proposal and account knowledge while preparing client-facing work.
Professional Service Businesses
Organise internal expertise and support repeatable research, review and documentation processes.
SUITABILITY CRITERIA
A Strong Fit When:
- Information and source documentation are reliable
- Access permissions and user roles can be clearly defined
- The underlying operational task is repeatable
- A responsible human owner is available to review exceptions
Not a Fit When: Source material is inaccurate, the system would provide unreviewed regulated advice, or success requires unrestricted autonomous decision-making.
BUILT, TESTED AND MANAGED BY HUBFLOW
From Knowledge Audit to Production Workflow.
Discover
Define users, questions, tasks, sources, risk and success criteria.
Prepare
Organise approved knowledge, permissions and required metadata.
Build
Configure retrieval, prompts, tools, interfaces and escalation logic.
Evaluate
Test common, ambiguous, unsupported and sensitive scenarios.
Launch
Release the approved workflow to the agreed users or channels.
Improve
Review failures, source gaps and agreed performance measures.
You Provide
Accurate knowledge, system access, permissions, test questions and responsible reviewers.
Hubflow Handles
Solution design, configuration, integrations, evaluation, launch support and agreed maintenance.
FROM QUESTION TO CONTROLLED OUTCOME
A Clear Workflow Behind Every Answer and Action.
Request received
A user submits an approved question or task.
Intent identified
The system determines the type of request and required context.
Knowledge retrieved
Relevant information is selected from approved sources.
Response or action prepared
The agent answers, drafts or performs a permitted tool action.
Evidence recorded
Sources, activity or status can be stored where supported.
Human handoff
Low-confidence, sensitive or unsupported cases go to the right person.
START WITH ONE KNOWLEDGE WORKFLOW
Validate Answer Quality Before Expanding Access.
Focused Knowledge Assistant — From £2,500
- One defined user group
- One approved knowledge collection
- Core search and answer workflow
- Source references where supported
- Basic access permissions
- Agreed testing and team handover
Scope note: Knowledge volume, supported file types, interface and test criteria are agreed before work begins. Extensive data cleanup, custom integrations and ongoing management are quoted separately.
Advanced Agent System — From £5,000
- Multiple approved knowledge sources
- Defined tool and API actions
- Role-based access permissions
- Structured answers and outputs
- Human approval and escalation rules
- Workflow evaluation and launch support
Scope note: Your proposal confirms the sources, integrations, permitted actions and evaluation requirements included. Product integration and complex workflows may increase the project cost.
Ongoing Management — From £500/Month
- Technical monitoring and integration checks
- Agreed knowledge-source updates
- Answer-quality evaluation reviews
- Prompt and workflow-rule refinements
- Issue investigation
- Agreed support and review schedule
Scope note: Your monthly plan defines update allowances, supported workflows and support hours. New features, additional integrations and major knowledge restructuring are quoted separately.
Pricing & Scope: All prices are in GBP. Implementation fees and monthly management are separate. AI model usage, hosting, vector storage and third-party subscriptions are additional unless explicitly included. Final pricing depends on knowledge volume, data readiness, access requirements, integrations and expected usage.
Focused and Advanced Implementation are alternative starting points. We recommend the appropriate scope for your requirements.
FREQUENTLY ASKED QUESTIONS
What You Need to Know Before Deploying.
Is this the same as an AI Employee?
No. This service builds custom agent and knowledge infrastructure. An AI Employee is a packaged role combining that infrastructure with a specific operational workflow and ongoing management.
Is this just a chatbot?
No. Chat can be the interface, but the system may also retrieve knowledge, create structured outputs, update tools or support internal workflows.
Can it cite its sources?
Where the source format and interface support it, answers can include links or references to the retrieved material.
Can it use confidential documents?
Potentially, after access, provider, retention and permission requirements are reviewed. Sensitive information should not be included by default.
Can it replace expert review?
It can support experts, but regulated, sensitive and high-impact outputs should remain under appropriate human review.
How long does implementation take?
Timing depends on knowledge readiness, integrations and evaluation scope. The proposal includes milestones and an estimated schedule.
Do you guarantee perfect accuracy?
No. We design for grounded, testable performance, but AI systems can still produce incomplete or incorrect outputs.
What’s the difference between a Focused Knowledge Assistant and an Advanced Agent System?
A Focused Knowledge Assistant starts with one user group, one approved knowledge collection and a defined search-and-answer workflow. An Advanced Agent System supports a broader scope, such as multiple sources, connected tool actions, more detailed permissions or product integration. We recommend the appropriate starting point after reviewing your requirements.
How is the knowledge kept up to date?
Your team identifies and approves changes to the source information. Updates can be applied through an agreed refresh process or supported connection, depending on the setup. Ongoing management can include defined source updates and testing of affected answers. New knowledge collections or substantial restructuring may require additional scope.
What costs apply after implementation?
Ongoing management starts from £500 per month and is scoped separately from implementation. AI model usage, hosting, vector storage and third-party subscriptions are additional unless explicitly included. Your proposal confirms the recurring costs, update allowances and support arrangements before work begins.
START YOUR AI SYSTEM REVIEW
Let’s Review Your AI Agent or Knowledge System.
Tell us what information your team or customers need to access more efficiently. We’ll review your requirements, knowledge sources and existing tools before recommending the right solution.