TYPICAL INPUTS
- A defined operating problem, representative approved data and user needs
- Current workflow, control, permission and technology constraints
- Acceptance criteria and human-review requirements
SERVICES · 03
Customised Solutions & AI Transformation
Redesign high-value workflows and build practical AI-enabled solutions around the way your investment firm actually operates.
TYPICAL CLIENT SITUATIONS
Begin with the work as it actually happens.
- Teams are experimenting with AI but lack a prioritised operating roadmap.
- Generic tools do not understand internal documents, controls or terminology.
- A valuable workflow sits between several systems and cannot be solved by one off-the-shelf product.
- The firm needs to improve productivity without weakening data confidentiality, review or accountability.
INPUTS & WORKFLOW
Clear inputs, controlled steps and visible review.
WORKFLOW
- Assess the workflow, value case, data readiness and risk boundaries
- Design the target process, controls and evaluation criteria
- Build and test the smallest useful controlled solution
- Implement, train, monitor and improve through governed releases
INDICATIVE SCOPE
A controlled operating layer around the critical workflow.
AI readiness and use-case design
- Workflow and pain-point assessment
- Use-case prioritisation by value, feasibility and risk
- Data, permission and integration readiness
- Human-review and accountability design
- Phased roadmap and business case
Workflow redesign
- Redesign of end-to-end work rather than isolated task automation
- Definition of rules, exceptions and escalation paths
- Role and responsibility changes
- Control evidence and auditability requirements
- Adoption and operating-procedure design
Custom tools and agents
- Internal copilots and knowledge assistants
- Document ingestion, classification and extraction
- Workflow agents operating within defined permissions
- Custom reporting and operational applications
- Integration with approved internal and third-party systems
Governance and adoption
- Approved-use and data-handling rules
- Evaluation and acceptance criteria
- Human-in-the-loop review thresholds
- Monitoring, feedback and change control
- Team training and usage playbooks
DELIVERABLES
Practical outputs that make responsibility and evidence visible.
AI opportunity and risk assessmentPrioritised transformation roadmapWorkflow and control designWorking prototype or production-ready custom toolEvaluation results and acceptance criteriaGovernance, training and operating documentation
Operating principle: AI is applied to bounded work with clear inputs, outputs and review thresholds. Material judgement and client authority remain explicit.
Indicative timeline: Discovery can begin in 2–4 weeks; implementation timing is then agreed from the confirmed workflow, integration and governance scope.
RESPONSIBILITY BOUNDARY
The workflow is designed around who executes, reviews and approves.
KELTON PARTNERS INTELLIGENCE
Leads workflow design, implementation, evaluation, documentation and agreed technical support.
CLIENT
Approves use cases, data, permissions, acceptance criteria, professional judgement and production release.
EXISTING PROVIDERS
Participate only where their systems, data or appointed responsibilities form part of the agreed workflow.
AVAILABLE DELIVERY MODELS
The same capability, configured around the intended operator.
01 · RUN IT FOR US
Managed Operations
Kelton Partners Intelligence executes an agreed workflow with defined controls, review thresholds, exception routes and reporting.
02 · ENABLE OUR TEAM
Technology Enablement
Kelton Partners Intelligence deploys the workflow, data connections and controlled AI capability so the client team can execute the work.
03 · WORK ALONGSIDE US
Hybrid / Co-sourced
Both teams operate the workflow together while controls, data and responsibilities are stabilised before a longer-term model is selected.
QUESTIONS
A focused first scope is often the best starting point.
Do we need to replace our existing systems?
No. Custom solutions can sit across existing systems and workflows where replacement is unnecessary or impractical.
Do you begin by building an AI agent?
Not automatically. The first step is to understand the operating problem, data and controls. The right solution may be workflow redesign, conventional automation, AI, or a combination.
Can a successful custom project become an ongoing service?
Yes. Repeatable workflows can move into co-sourced or managed delivery and may later be standardised into reusable capabilities.
Discuss a customised solution
We will help define a practical first engagement.