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OptisourceAI

Services

From strategy to AI in operation

We help organisations plan, design, build and run AI as a connected enterprise capability. Each service can be engaged on its own or as part of a wider transformation.

Discuss Your Enterprise AI Strategy

How we engage

Advise. Architect. Implement. Operate.

Our services cover the full lifecycle of enterprise AI, from leadership strategy to day-to-day operations.

  1. Stage 1

    Advise

    Strategic consulting

    Readiness assessment, use-case prioritisation and a roadmap your leadership team can own.

  2. Stage 2

    Architect

    Enterprise architecture

    Dependency mapping, shared data foundations, integration patterns and authorisation design.

  3. Stage 3

    Implement

    AI implementation

    AI-assisted workflows and agents built into existing systems through controlled interfaces.

  4. Stage 4

    Operate

    AI operations

    Governance, monitoring, evaluation and continuous improvement once AI is in use.

Service 01

Enterprise AI Strategy and Readiness

Agree where AI can deliver measurable gains across the enterprise, and in what order.

We review current AI initiatives, data, processes, skills and risk appetite with your leadership team. The aim is a shared, evidence-based view of where AI should be applied first, what must be in place before it can work across departments, and how progress will be measured.

Questions we help you answer

  • Which AI initiatives are already running, and do they share context?
  • Which cross-functional processes create the most value or the most friction?
  • What would need to be true for AI to operate safely across departments?

What you receive

  • Readiness assessment covering data, technology, people and governance
  • Use-case portfolio ranked by value, feasibility and risk
  • Sequenced roadmap tied to business outcomes
  • Map of the dependencies between departmental processes and decisions

OEIF elements

  • Enterprise AI strategy
  • Systems and process dependency mapping

Service 02

Data and Intelligence Architecture

Design shared data foundations so AI can work across departments from the same facts.

AI capabilities can only coordinate if they draw on a consistent view of customers, transactions and operations. We design the data ownership, integration patterns and access controls that give each AI capability the context it needs, and no more than it needs.

Questions we help you answer

  • Where do departments hold conflicting definitions of the same entity?
  • Which systems of record must AI read from or write back to?
  • How will outputs be traced back to their sources?

What you receive

  • Target data and integration architecture
  • Shared definitions for core entities such as customers, orders and assets
  • Access control and data protection design
  • Integration approach for existing enterprise applications

OEIF elements

  • Data and intelligence architecture
  • Integration with existing enterprise applications

Service 03

Intelligent Workflow and Agent Engineering

Design and build AI-assisted workflows and agents that operate across systems through controlled interfaces.

We design and implement AI-assisted workflows and agents with defined decision rights, controlled interfaces to your existing applications, and clear points for human review and approval. Each workflow is tested and evaluated before and after release.

Questions we help you answer

  • Which steps can AI perform, which can it recommend, and which must stay with people?
  • What inputs, outputs and limits should each agent operate within?
  • How will workflow quality be evaluated once live?

What you receive

  • Workflow and agent design with defined decision rights
  • Implementation and integration with existing systems
  • Testing and evaluation before and after release
  • Documented human review and approval points

OEIF elements

  • Enterprise AI agents and workflow orchestration
  • Integration with existing enterprise applications

Service 04

AI Governance, Security and Operations

Establish the policies, permissions, monitoring and incident processes that keep AI accountable in use.

Enterprise AI needs to remain accountable after go-live. We put in place the governance roles, authorisation policies, security controls, monitoring and operational runbooks that let you run AI systems with confidence and respond when something goes wrong.

Questions we help you answer

  • Who is accountable for each AI capability and its outcomes?
  • What can each person, system and agent see and change?
  • How will performance, drift and incidents be detected and handled?

What you receive

  • Governance framework with roles and approval processes
  • Authorisation policies for users, systems and agents
  • Monitoring, evaluation and operational runbooks
  • AI-specific security and incident response considerations

OEIF elements

  • AI governance and cybersecurity
  • AI operations and performance management

Service 05

Organisational AI Transformation

Change how work is organised so AI is adopted, trusted and measured across the organisation.

Technology alone does not create an intelligent enterprise. We help leadership define the operating model, accountabilities and capabilities needed for AI to be adopted across teams, and to track whether it is delivering the intended benefits.

Questions we help you answer

  • Who owns AI outcomes at executive and departmental level?
  • Which skills does the organisation need to build, buy or partner for?
  • How will adoption and benefits be measured over time?

What you receive

  • Operating model and accountabilities for AI
  • Skills and capability plan
  • Adoption and benefit tracking
  • Leadership and team enablement approach

OEIF elements

  • Organisational adoption and transformation

Working together

What an engagement looks like

Every organisation starts from a different place. A typical engagement follows these steps, adapted to your context.

  1. 1

    Discovery conversation

    We discuss your objectives, current AI initiatives and the decisions that matter most to your leadership team.

  2. 2

    Scoping

    We agree the scope, the people involved, the information we need and the outputs you will receive.

  3. 3

    Delivery

    We work alongside your teams, with regular checkpoints and documented decisions throughout.

  4. 4

    Handover or ongoing support

    You receive the artefacts and knowledge to continue independently, or we continue in an operations role.

Not sure where to start?

Many organisations begin with a readiness assessment. Tell us about your situation and we will suggest a sensible first step.

Discuss Your Enterprise AI Strategy