Max Budget
£1,000,000
Over 2 Year Contract
Efficiency Target
£2.5m+
Projected Savings
Evaluation Split
70 / 30
Quality / Cost Weighting
Implementation
4 Months
Induction to Go-Live
The risk is Annex 2a: Speaker Identification in multi-party meetings (diarization). Standard APIs like Azure Whisper/Cognitive work well, but fine-tuning for "diverse regional accents" and "voice regardless of age" (children/seniors) is a labor-intensive testing task.
The risk is Legal Hallucination. Generating EHCPs (Special Needs plans) is high-stakes. The tech is standard template-mapping, but the Prompt Governance to ensure compliance with WCC's specific legal terminology is a high-risk QA burden.
Most accessible via Azure Translator / DeepL API. The primary risk is latency in real-time interpretation on mobile devices over poor network conditions (e.g., social workers in the field).
The biggest risk. WCC wants "Digital Assistants that can authenticate users and log service requests directly into line-of-business systems." Integrating with legacy council ERPs/CRMs via secure APIs is a massive engineering hurdle for a small team.