The We Complement team faced several challenges common to modern paraplanning firms:

1. High workload and complex cases
   Paraplanners spent hours extracting information, summarising data, and preparing client documentation.
2. Inconsistent AI usage
   Without a framework, individual team members experimented with prompts in different ways, leading to inconsistent quality and risk of incorrect outputs.
3. Quality assurance concerns
   AI outputs could be incomplete, inaccurate, or misaligned with industry standards unless properly validated.
4. Compliance and audit pressures
   The firm needed a defensible way to use AI while maintaining compliance with regulations and professional standards.
5. Need for operational efficiency
   The team sought a way to reduce turnaround time while ensuring each case met their quality benchmarks.

The solution required structure, not experimentation — a repeatable system paraplanners could trust and use with confidence.

Discovery and Research

No-Code District worked with We Complement’s leadership to understand:

• paraplanners’ daily tasks
• workflow bottlenecks
• risks when using AI in regulated contexts
• common errors or inconsistencies
• required compliance standards
• areas where AI could create the highest impact

This allowed us to design a training program grounded in real work, not theory.

‍

Training and Enablement Program

1. The Prompt QA Framework

Paraplanners were trained to use a structured approach for every AI interaction:

• Check data integrity
• Identify missing information
• Validate against case requirements
• Confirm compliance alignment
• Document decisions for audit trails

This framework became the foundation of safe, consistent AI usage across the team.

2. Prompt Engineering for Paraplanners

We trained the team on creating and refining prompts for:

• extracting information from documents
• summarising client notes and LoAs
• analysing provider details
• preparing compliant paraplanning summaries
• creating structured outputs ready for review

Paraplanners learned how to control AI behaviour, avoid hallucinations, and request specific formats with confidence.

3. Scoreable Real-World Prompt Tests

Each paraplanner completed tests based on real paraplanning scenarios, including:

• document analysis
• policy comparison
• extraction of key values
• preparation of advisory summaries
• risk identification

Their outputs were scored for:

• accuracy
• completeness
• consistency
• reasoning
• compliance readiness

This transformed training into measurable performance improvement.

4. Retry and Resolution Method

We developed a practical system for paraplanners to fix AI errors quickly and safely.
This included:

• identifying the root cause
• reframing prompts
• adding missing context
• validating corrections
• preparing an audit-friendly explanation

The team could now rescue incorrect outputs rather than restarting from scratch.

5. Document-Based Exercises

Paraplanners practiced with realistic, anonymised documents such as:

• Letters of Authority
• policy PDFs
• provider summaries
• case notes
• risk assessments

They learned how to extract structured data, validate details, summarise content, and identify incomplete or contradictory information.

6. Compliance and Audit Readiness

We trained the team in:

• how to document AI assisted work
• how to defend outputs
• how to flag uncertain or risky content
• how to keep a traceable workflow
• how to maintain quality standards in a regulated environment

This positioned AI as a safe extension of paraplanning operations.

The training created an immediate shift in the team’s performance, confidence, and operational efficiency.

Operational Impact

• 40 percent reduction in time spent on document analysis
• Faster turnaround on summaries, case reviews, and research
• Standardised processes across paraplanners
• Less manual rewriting and rechecking

User Impact

• Paraplanners gained confidence in using AI responsibly
• Clear framework for verifying correctness and compliance
• Reduced cognitive load during complex case preparation
• Improved consistency in outputs across the team

Strategic Impact

• Stronger quality assurance standards
• AI became a safe, repeatable part of daily workflow
• Reduced operational pressure during high-volume periods
• Positioned We Complement as one of the most AI enabled paraplanning teams in the UK