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AI Business Analyst / Knowledge Architect (Contract)
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AI Business Analyst / Knowledge Architect (Contract)
6 Months Initial Contract – Must Work from the UK
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.
This is a discovery and enablement role responsible for finding the workflows AI should transform and structuring the knowledge AI depends on.
The Role
We are hiring a contract Business Analyst / Knowledge Architect to act as the discovery engine for ASG’s internal AI programme.
You will:
- Map how work actually gets done across the business
- Identify and quantify the inefficiencies worth automating
- Structure organisational knowledge so AI systems can use it reliably
You will work cross-functionally across Customer Operations, Marketing, Education, Training, Finance, and Strategy to:
- Map current-state workflows and quantify manual effort and bottlenecks
- Translate findings into clear, prioritised requirements for automation delivery
- Design the taxonomies and knowledge structures that power AI-enabled tools
- Turn scattered documentation into structured, AI-ready knowledge bases
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Core Responsibilities
Workflow Discovery & Analysis
- Map current-state workflows across functions through interviews, observation, and system data
- Identify and quantify inefficiencies, manual effort and bottlenecks
- Build the business case for each automation opportunity:
- Baseline metrics
- Expected ROI
- Margin impact
- Translate findings into clear requirements for the AI Engineer and delivery teams
Knowledge Architecture
- Design taxonomies and knowledge structures for company documentation
- Audit, clean, and restructure existing SOPs, policies and training content for AI consumption, including RAG knowledge bases
- Establish documentation standards:
- Format
- Ownership
- Review cadence
- Work with the AI Engineer to ensure knowledge bases serve retrieval pipelines accurately
Process Documentation & Adoption
- Produce SOPs, process maps and RACI documentation where needed
- Support adoption with playbooks and training materials
- Track realised benefits after each automation is deployed
What Success Looks Like (6–12 Months)
- Priority workflows mapped, with quantified baselines and a costed opportunity backlog
- A structured, AI-ready knowledge base covering priority domains
- A steady requirements pipeline feeding automation delivery
- Documentation standards adopted and owned by the business
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Required Experience
Analysis & Knowledge Management
- Proven business analysis experience in SaaS or technology environments
- Strong process mapping and discovery skills (BPMN or similar)
- Experience in knowledge management or information architecture:
- Taxonomies
- Content structuring
- Metadata
- Familiarity with how LLMs consume knowledge (RAG awareness) is highly desirable
- Experience with documentation platforms such as Confluence, Notion, or similar
- Working data literacy: SQL desirable
Ways of Working
- Skilled at stakeholder interviewing and eliciting how work actually gets done
- Able to quantify processes (cycle times, volumes, cost of manual effort)
- Track record of delivering as a contractor with clean documentation and handover
Personal Attributes
- Structured and rigorous
- Curious, with high attention to detail
- Excellent written communication
- Comfortable working in ambiguity
- Outcome-focused and pragmatic
Why This Role Matters
AI is only as good as the workflows it automates and the knowledge it draws on. Your discovery work decides where ASG’s AI investment lands, and your knowledge architecture determines whether AI tools give accurate answers. This role turns AI from a set of tools into a capability built on a true understanding of how the business works.
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