Introduction: From Pilot to Production
Many AI projects stall after the planning stage. Research reveals that 88 % of AI proofs‑of‑concept never make it to production, often due to ignoring the human side of AI (transition management, change management and culture), unclear ROI, insufficient data and lack of technical expertise. At the same time, only 5 % of businesses realize significant value from AI. Sixth City AI’s Implementation & Technical Services bridge that gap. We provide full‑scale project management, custom development, integration and continuous support to ensure your AI initiatives deliver on their promise.
Full‑Scale Projects & Management
Full‑Service AI Transformation
We manage the entire AI transformation lifecycle—from data engineering and model development to deployment and change management. Our holistic approach ensures that pilots scale into production and deliver tangible business outcomes.
Fractional AI Program Manager
Not every organization needs a full‑time AI leader. A fractional program manager offers part‑time strategic oversight, aligning projects, tracking progress and coordinating across departments without the cost of a full‑time hire.
Project management, data engineering, model development, integration, change management and value tracking. We coordinate end‑to‑end execution.
They provide part‑time leadership to align projects across teams, monitor progress and offer strategic guidance without the cost of a full‑time executive.
Development, Proof of concept & Integration
AI Development Consulting
Our engineers build custom AI models and applications tailored to your use‑cases. Whether it’s natural language processing, computer vision or generative AI, we deliver scalable and maintainable solutions.
AI Proof of Concept (PoC)
To de‑risk your AI investments, we build small prototypes with clear success metrics. These PoC's test technical feasibility and business value, enabling data‑driven decisions about scaling.
with a Specific AI/Agent Project
If you have a defined project -- like a chatbot or an automated report -- we can jump in at any stage. Our experts assist with data preparation, model training, deployment and user adoption.
AI Integration Planning Services
Integrating AI into existing systems can be complex. We design data pipelines, recommend middleware and address scalability, security and performance requirements.
Generative AI Proof of Concept
Generative AI introduces new opportunities and risks. Our GenAI PoC's explore content generation and automation use‑cases while monitoring output quality and ethics.
Custom AI Solution Consult (1 Hr)
For unique or complex questions, book a one‑hour consultation. We review your architecture, troubleshoot problems or offer guidance on technology choices.
Support & Maintenance
AI models need continuous monitoring and refinement. We provide maintenance services to retrain models, update infrastructure and ensure compliance.
Generative AI Performance OptimiZation
GenAI models can be resource‑intensive. We fine‑tune prompts, adjust parameters and optimize infrastructure to improve quality and reduce costs.
Both. We evaluate open‑source and commercial models and customize them for your needs or build bespoke models when necessary, through our network of vetted partners.
Assessing systems, designing data pipelines, selecting middleware and addressing scalability, security and performance.
Four to eight weeks. We set success metrics upfront and deliver a prototype you can test with real data.
: It focuses on creative applications while emphasising ethical considerations and output quality.
Yes. We can assist with any stage from data preparation and model tuning to deployment and user adoption.
We can review your architecture, recommend tools and troubleshoot performance issues.
Models degrade as data changes. Regular updates keep them accurate, secure and compliant.
By refining prompts, adjusting model parameters and optimising infrastructure to improve response time and reduce costs.
AI without governance is risky. Studies show that leadership support, proper training and governance structures are essential for successful adoption. Our governance offerings embed responsibility and transparency into your AI program.
Building AI Governance
We design the policies and structures that define roles, responsibilities and decision rights. These frameworks ensure your AI projects comply with laws, respect ethics and maintain accountability.
Ethical AI & Model Governance
We help you embed fairness and accountability into AI models through bias detection, explainability and human‑in‑the‑loop review.
Ethical Gen AI Implementation
Generative AI presents unique ethical challenges. We help you deploy GenAI responsibly with safeguards that prevent misuse and protect intellectual property.
AI Governance
This service establishes ongoing governance processes—committees, risk assessments and monitoring mechanisms—so your AI initiatives remain compliant and ethical as they scale.
AI Governance Planning (72 Hours)
This intensive program works with your team over several days to draft governance policies, define roles and develop communication
AI Governance Group Training (2 Hours)
Train your leadership and stakeholders on governance principles, risk management and ethical AI. Interactive sessions build awareness and support adoption
Proper AI governance prevents bias, protects data and ensures compliance with laws and ethical principles.
Through committees, policies, risk assessments and continuous monitoring. We help embed these structures into your organisation.
Building models that are fair, transparent and accountable. We implement bias detection, explainability and human oversight to ensure ethical use.
Data breaches, regulatory penalties, reputational harm and operational disruptions. We identify risks and craft mitigation plans.
By establishing content guidelines, monitoring outputs for accuracy and bias and incorporating human review.
Leaders, project managers and anyone involved in AI initiatives. Training builds awareness and buy‑in.
We craft governance policies, define roles and develop communication strategies. You leave with a comprehensive governance blueprint.
Choosing the right AI vendor is complex. According to industry guidance, organizations should evaluate vendors based on technology, expertise, support, cost, and references. Our vendor services help you make an informed choice.
AI‑Agent Vendor – Help Choosing AI Vendors
We start by defining your requirements and business objectives. Then we assess vendors based on compatibility, scalability, security and customer references and provide a shortlist with pros and cons.
Generative AI Tech Stack Selection
We compare GenAI models, platforms and tools to find the best fit for your use‑cases, balancing performance, scalability and security
Generative AI Cost‑Benefit Analysis
This service evaluates potential gains in productivity and revenue against licensing, infrastructure and training costs
AI Agents Decision‑Making & Readiness
If you’re unsure whether you should deploy AI agents, we evaluate your data maturity and integration readiness and recommend whether to build, buy or partner.
AI Value Realization
Many companies don’t track AI ROI effectively. We define KPIs, measure progress and adjust strategies to ensure your investments deliver value.
We evaluate potential vendors and provide a shortlist, with pros and cons based on performance, support and cost.
It measures whether your organisation has the data, tools and processes to deploy AI agents effectively. We assess readiness and advise on next steps
We analyse your needs and compare available models and platforms for performance, scalability and security
By defining KPIs, tracking progress and adjusting strategy to maximize ROI on your AI investments.
We compare potential productivity and revenue gains against licensing, infrastructure and training costs.
Ready to chart a clear AI course?
Book a complimentary 30‑minute consultation with our strategy team. We’ll discuss your needs and help you decide how to begin.