Kainos

kainos.com

Kainos combines digital advisory and engineering with ongoing system operation and platform-specific Workday services. Buyers can engage it for defined stages such as strategy, proofs of value, migration, deployment or support rather than assuming every engagement covers the full lifecycle. Its AI services include production ML engineering, generative-AI experimentation, responsible-AI assurance and application and agent implementation. Packaged offerings such as Smart Test are a separate purchasing category and should not be confused with consulting or managed services. ^[1] ^[2] ^[3] ^[4] ^[5] ^[6] ^[7] ^[8]

Services and delivery

Machine-learning production engineering

Implementation. Moves ML experiments into repeatable cloud deployments through reusable model templates and improvements to deployment, iteration and fixes. ^[4]

Generative-AI advisory

Advisory. Identifies use cases, runs workshops and develops strategic business cases before committing to a generative-AI solution. ^[5]

Generative-AI proofs of value

Implementation. Builds trial solutions within the customer’s secure environment to test value. Production rollout requires a separately confirmed scope. ^[5]

AI-enabled business application implementation

Implementation. Builds and integrates applications, copilots, agents and automation using Dynamics 365, Power Platform, Copilot Studio and Microsoft 365 Copilot. Use cases include customer service, knowledge assistants and document processing. ^[9]

AI business application operation

Managed services. Provides operation, support and continuous improvement for AI-enabled business applications, with operating responsibilities to be agreed separately from implementation. ^[9]

Responsible-AI governance advisory

Advisory. Assesses governance maturity, develops governance roadmaps and runs harms workshops to define oversight for AI systems. ^[6]

Responsible-AI technical assurance

Implementation. Evaluates AI systems using fairness and explainability metrics, LLM evaluation and red-teaming, and implements custom prompt guardrails. ^[6]

Workday AI activation and agent deployment

Implementation. Assesses and activates existing Workday AI capabilities and deploys Workday-delivered agents with architecture, governance and adoption support. ^[7]

Custom Workday AI agents

Implementation. Designs and builds tailored agents and applications when standard Workday capabilities do not meet the customer’s requirements. ^[7]

Cloud strategy and planning

Advisory. Develops business cases and roadmaps for cloud adoption, separately from migration delivery and ongoing operations. ^[2]

Cloud migration and modernisation

Implementation. Migrates and modernises services. Documented delivery includes AWS and Azure migrations, landing zones, rehosting, re-platforming and CI/CD automation. ^[2]

Custom software engineering

Implementation. Develops software from scoping through go-live, with continuous delivery and tailored testing. Documented technologies include Java, JavaScript, .NET, Python, AWS, Azure and Terraform. ^[10]

Cloud data-platform engineering

Implementation. Builds cloud data platforms, data lakes, streaming and batch-processing systems, with migration, enterprise cataloguing and governance for fragmented or legacy data estates. ^[11]

Application and cloud managed services

Managed services. Manages applications and platforms through service operations, FinOps, automation and continuous improvement, using dedicated teams and adjustable delivery capacity. ^[3]

Digital technology advisory

Advisory. Connects business goals and user needs to enabling technology through digital strategy, opportunity prioritisation and execution planning. ^[1]

Workday deployment

Implementation. Provides technical implementation of Workday, distinct from purchasing Kainos software products or commissioning post-go-live support. ^[12]

Workday Application Management Services

Managed services. Provides post-go-live support, enhancements and optimisation. The GK Software engagement includes assistance with complex bank integrations. ^[13]

Smart Test

Software product. Packaged AI-powered Workday testing software. A product purchase alone is not an AI consulting or implementation engagement. ^[8]

Actonomy platform

Software product. An AI product business whose platform is embedded into customer processes by engineering teams. The announcement does not establish whether that engineering is independently purchasable. ^[14]

Company details

Engagement and delivery

Managed-service delivery includes dedicated teams, sprint-based working and capacity that can scale up or down. The Companies House case also describes blended delivery and knowledge transfer. These examples support collaborative delivery arrangements, but do not establish standard support hours or contractual service levels. ^[3] ^[15]

Track record

For an unnamed UK investment organisation, Kainos describes integrating Azure OpenAI into an existing equity-research system and building a natural-language tool for structured and unstructured datasets. Kainos reports a 30% reduction in stock-analysis time; the case does not detail production scale or evaluation methods. ^[16]

An unnamed insurer case describes Azure-based MLOps architecture, governance, knowledge sharing and model integration with a claims fraud pipeline. It names Git, DevOps and Azure ML, but provides no quantified model-performance result. ^[17]

For Companies House, Kainos reports migrating front-end services to AWS and back-end services to Azure, creating a secure landing zone and using rehosting, re-platforming, PaaS and CI/CD automation. ^[15]

GK Software selected Kainos for Workday Application Management Services covering post-go-live support, enhancements, optimisation and complex bank integrations. This case does not establish that Kainos performed the original implementation. ^[13]

Scope and limitations

The supplied evidence establishes service availability more clearly than commercial terms, support windows, service levels or delivery-team commitments.
The investment and insurer AI examples are unnamed. Their descriptions do not establish generalisable results, detailed operating arrangements or performance guarantees.
Generative-AI proofs of value should not be assumed to include production deployment or ongoing operation.
Actonomy includes a described implementation component, but its announcement does not clarify whether engineering can be purchased independently of the platform.

Questions to ask

Which discovery, proof-of-value, production deployment and operating stages are included in the statement of work?
Can you provide relevant named references for our proposed use case, platform and delivery scope?
Who owns AI evaluation, acceptance criteria, monitoring, incidents and handover?
How are Workday, Microsoft and Kainos product licences separated from implementation and support charges?
What delivery ownership, support hours, service levels, data-location constraints and exit arrangements will the contract specify?

Overview