Public-sector delivery

Symban Power Systems Ltd operates as a specialist supplier. Delivery is provided hands-on by lead consultant, enabling direct accountability and reducing delivery risk.

Public-sector delivery hero image

Delivery model

  • Supplier: Symban Power Systems Ltd
  • Named delivery owner: Dr Nikos Baltas (hands-on lead consultant)
  • Approach: Outcomes-led delivery with appropriate controls: governance, assurance, testing, security, and operational handover
  • Working style: Embed with your team, accelerate decision-making, reduce delivery risk, and deliver production-grade outcomes

This page is intentionally procurement-friendly: brief, defensible, and non-confidential. For technical depth, see Services.

What councils typically need

Outcome-led services (not roles) ·See productised packages ↓

Digital & service transformation delivery

Delivery leadership across discovery-to-live: clear milestones, RAID, stakeholder alignment, and dependable execution under real constraints.

Data, legacy & platform modernisation

Pragmatic modernisation of data pipelines, integrations, and platforms — improving performance, reliability, auditability and maintainability.

AI readiness, governance & pilots

Safe, controlled AI/LLM pilots (including RAG) with evaluation, prompt security, information controls, and productionisation pathways.

Evidence and proof points

Examples across central government and regulated delivery

Generative AI document understanding (UK government)

Need: Query and summarise large datasets safely in a regulated setting.
Delivered: RAG backend patterns and security-conscious controls.
Improved: Faster discovery workflows with safer, testable delivery.

AI/LLMsGovernanceRegulated delivery

See case studies →

National platform performance improvement

Need: Reduce ETL run times blocking operations and iteration.
Delivered: Profiling + targeted parallelisation + improved data store concurrency.
Improved: 10+ hours → under 5 hours per run (defensible metric).

DataPerformanceOperational reliability

See achievements →

How engagements typically run

Simple delivery structure

Week 1–2: Discovery & alignment

Confirm outcomes, stakeholders, risks and constraints. Establish RAID, governance cadence, and delivery plan.

Weeks 2–6: Delivery & controls

Build/modernise with test coverage, security controls, audit-friendly change, and regular demos to unblock decisions.

Weeks 6+: Operational handover

Documentation, runbooks, monitoring/alerts, knowledge transfer, and support options (advisory or hands-on).

Productised Packages

Package A — Council Digital Transformation Blueprint & Delivery Sprint (3–4 weeks)

Deliverables

  • service portfolio triage (fix / simplify / digitise / stop)
  • priority service discovery inputs (journeys, demand, constraints)
  • transformation blueprint (operating model + governance + measures)
  • roadmap (now/next/later) with dependencies and delivery plan
  • procurement-ready delivery approach for phased implementation

Outcome

A fundable, executable transformation plan — with delivery mobilisation options.

Delivery: Provided hands-on by Dr Nikos Baltas (named delivery owner).

Package B — Intelligent Intake & Case Automation Sprint (3–4 weeks)

Purpose: Targeted at Planning, Housing, Blue Badge or similar services.

Deliverables

  • Process mapping of one priority intake flow
  • Document typology definition (forms, evidence, correspondence)
  • OCR + classification proof-of-concept
  • Data extraction & validation rules
  • Case creation integration design
  • Governance & audit controls
  • Measured time-saving baseline vs pilot
  • Scale-up roadmap

Outcome

A working automation pilot that:

  • reduces manual triage effort
  • accelerates case creation
  • improves auditability
  • provides a defensible ROI case

Package C — AI Readiness & Governance Review (2 weeks)

Deliverables

  • AI readiness assessment (data + security + governance)
  • use case prioritisation
  • risk register (incl. prompt injection and data leakage)
  • recommended target architecture
  • pilot plan with delivery roadmap

Outcome

A controlled, procurement-friendly plan to deliver AI safely.

Package D — Secure RAG Pilot Delivery (4–6 weeks)

Deliverables

  • working pilot with retrieval + summarisation
  • evaluation harness and test datasets
  • deployment approach (cloud/on-prem)
  • governance controls and logging/audit model

Outcome

A pilot that can transition to production.

Package E — Programme Recovery & Delivery Assurance (2–4 weeks)

Deliverables

  • recovery plan and re-baselined milestones
  • RAID cleanup and governance reset
  • delivery cadence and reporting pack
  • stakeholder alignment plan

Outcome

Stabilised programme with credible delivery plan.

Package F — Data Platform Performance Optimisation (2–6 weeks)

Deliverables

  • profiling and bottleneck analysis
  • optimisation plan
  • improved database strategy
  • parallelisation improvements
  • reproducibility improvements

Outcome

Faster, cheaper, more reliable data pipeline execution.

Cross-links: For capability areas, see Services. For delivery stories, see Case studies. For summary outcomes, see Achievements.