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.
Grounded in your approved sources. Connected to your workflow. Managed with clear boundaries.
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.
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.
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.
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.
CONNECTED WITHOUT UNRESTRICTED ACCESS
Use the Right Sources and Tools for the Role.
Systems may connect to approved documents, cloud storage, knowledge bases, databases, CRMs, help desks, websites, internal APIs and communication tools.
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.
START WITH ONE KNOWLEDGE WORKFLOW
Validate Answer Quality Before Expanding Access.
Focused Knowledge Assistant — From £2,500
One user group, one approved knowledge collection, core search and answer workflow, basic access controls and testing.
Advanced Agent System — From £5,000
Multiple sources, tool actions, advanced permissions, structured outputs, deeper evaluation or product integration.
Ongoing Management — From £500/Month
Technical monitoring, agreed source updates, evaluation review, prompt or rule improvements and integration checks.
Pricing Clarification: Final cost depends on source volume, data quality, permissions, integrations, evaluation requirements and activity volume.
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.
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.
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.