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AURTIV SERVICES / 7 SPECIALIST CAPABILITIES

Clear direction. Accountable follow-through.

Combine leadership, architecture and operational support around a defined business priority. Agree who decides, who delivers and how the work will be reviewed.

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A connected engagement

Choose a starting point.
Connect what comes next.

Combine leadership, architecture and operational support around a defined business priority. Agree who decides, who delivers and how the work will be reviewed. The groups below show complementary capabilities. Choose a focused assignment or combine them into a scoped delivery plan.

01 / CONNECTED CAPABILITIES

Choose the direction

Strategy & Operations / 01

Fractional CTO Services

Part-time technology leadership for architecture, hiring, prioritisation and engineering governance.

Let’s discuss this capability ↗︎

Bring technical leadership to the decisions that need it.

A fractional CTO engagement provides a defined allocation of senior technology leadership. It can help connect business priorities to architecture, team structure and delivery decisions when full-time leadership is not the current requirement. The arrangement needs clear authority and availability so advice becomes a practical operating cadence.

IN PRACTICE

Create a technology plan for a growing business

Illustrative engagement

01 / THE STARTING POINT

The challenge

Leadership needs to choose between product expansion, platform maintenance and new hiring with limited engineering capacity.

02 / THE WORK

Our approach

Review business priorities and technical constraints, establish a decision backlog and agree a roadmap. Support architecture and hiring discussions while documenting decisions and the owners responsible for execution.

03 / THE DIFFERENCE

How it helps

Leaders gain a coherent view of tradeoffs and a way to revisit them as evidence changes. The role complements accountable delivery ownership.

Explore delivery guidance & success measures

Build it thoughtfully

  • Define decision authority, time allocation and escalation expectations explicitly.
  • Keep a decision record and a prioritised roadmap rather than relying on informal advice.

Know what good looks like

  • Leadership value: decisions resolved and priorities understood by the team.
  • Execution alignment: follow-through on agreed actions and visibility of technical risks.

Does a fractional CTO manage every engineering task?

Not automatically. The engagement defines strategic, managerial and technical responsibilities, along with the team members who own daily execution.

Strategy & Operations / 02

AI Transformation Consulting

Identify useful AI opportunities and create an adoption roadmap grounded in business readiness.

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Choose AI initiatives your organisation can actually adopt.

AI transformation begins with business processes, data readiness and the people who will use the result. We identify candidate opportunities, compare feasibility and value, and define a staged adoption plan. The work should produce a prioritised programme with accountable owners rather than a collection of disconnected demonstrations.

IN PRACTICE

Prioritise AI opportunities across departments

Illustrative engagement

01 / THE STARTING POINT

The challenge

Several teams have ideas, but there is no shared way to compare usefulness, data access and operating effort.

02 / THE WORK

Our approach

Map candidate workflows, assess readiness and select a bounded pilot. Define success evidence, user training and operational ownership before planning expansion to other teams.

03 / THE DIFFERENCE

How it helps

Investment can follow demonstrated usefulness and adoption. A pilot that reveals a poor fit can prevent a larger unnecessary commitment.

Explore delivery guidance & success measures

Build it thoughtfully

  • Evaluate process changes and user adoption alongside model capability.
  • Give each initiative a business owner and an explicit decision about continuation.

Know what good looks like

  • Pilot value: task outcomes and total human effort against the current process.
  • Adoption readiness: access, ownership, training and unresolved dependencies.

Should every department launch an AI pilot?

No. Prioritise opportunities with a clear task, feasible access and measurable value. Shared foundations may need attention before additional pilots are useful.

Strategy & Operations / 03

Technology Architecture Review

Review existing systems for maintainability, scalability, reliability and integration concerns.

Let’s discuss this capability ↗︎

See where the design supports the business—and where it does not.

An architecture review examines how a system meets agreed requirements for change, reliability, security and operation. We inspect the relevant design and evidence, identify constraints and prioritise recommendations. The review should distinguish an immediate issue from a future concern and explain the tradeoff behind each proposed change.

IN PRACTICE

Review a platform before expansion

Illustrative engagement

01 / THE STARTING POINT

The challenge

A business plans increased usage and new integrations but lacks confidence in current architectural limits.

02 / THE WORK

Our approach

Map components and dependencies, inspect representative workloads and review failure behaviour. Rank findings by business impact and propose a staged set of investigations or improvements.

03 / THE DIFFERENCE

How it helps

The team receives an actionable decision basis and can avoid treating every architectural preference as urgent rework.

Explore delivery guidance & success measures

Build it thoughtfully

  • Tie findings to an agreed requirement or observed constraint.
  • Include operating ownership and recovery procedures in the architecture discussion.

Know what good looks like

  • Review quality: evidenced findings and actionable recommendations.
  • Readiness: critical uncertainties resolved before the planned expansion.

Will the review require production access?

Not always. Documentation, code and sanitised telemetry may be sufficient for some questions. Access is scoped to the evidence needed and your policies.

02 / CONNECTED CAPABILITIES

Deliver & operate

Strategy & Operations / 04

IT Project Outsourcing

Commission a client-defined technology project with agreed milestones, ownership and acceptance.

Let’s discuss this capability ↗︎

Delegate a defined outcome with visible delivery checkpoints.

Project outsourcing assigns an agreed scope of delivery to an external team. It differs from adding individual capacity because milestones, acceptance and responsibilities need to be defined around the project outcome. We establish dependencies and change control so both sides can see progress and understand the effect of new requirements.

IN PRACTICE

Deliver a bounded internal application

Illustrative engagement

01 / THE STARTING POINT

The challenge

A business needs a specific workflow implemented while its core team focuses on other commitments.

02 / THE WORK

Our approach

Agree the user journeys, integrations and acceptance criteria, then divide delivery into demonstrable increments. Review changes openly and prepare technical documentation, training and handover as part of delivery.

03 / THE DIFFERENCE

How it helps

The customer can evaluate working increments while retaining control over acceptance and scope decisions.

Explore delivery guidance & success measures

Build it thoughtfully

  • Define acceptance evidence and customer dependencies before committing to milestones.
  • Keep scope changes visible with their effect on cost, timing and responsibilities.

Know what good looks like

  • Delivery evidence: accepted milestones and unresolved dependencies.
  • Handover readiness: documentation, access and ability of the receiving team to operate the result.

Who owns changes to the requirements?

The engagement should name the decision makers and change process. New requirements are assessed against the agreed scope before revised commitments are made.

Strategy & Operations / 05

Managed AI Agent Operations

Maintain deployed agents through monitoring, evaluation, incident review and controlled improvements.

Let’s discuss this capability ↗︎

Keep deployed agents under active operational ownership.

Managed agent operations covers the ongoing review of a defined AI workflow after release. The scope can include incidents, usage, evaluation and approved configuration changes. Because agent behaviour depends on models, tools and source information, the operating process needs to track more than whether an endpoint is available.

IN PRACTICE

Operate a knowledge and action assistant

Illustrative engagement

01 / THE STARTING POINT

The challenge

An assistant is in daily use, but no team consistently reviews failed tasks or changes in connected tools.

02 / THE WORK

Our approach

Define service coverage, monitor task outcomes and investigate exceptions. Review proposed model or tool changes against an evaluation set, with approval and rollback steps for production updates.

03 / THE DIFFERENCE

How it helps

The business gains a visible operating rhythm and a route for incidents and improvements. Expansion remains a separate decision based on evidence.

Explore delivery guidance & success measures

Build it thoughtfully

  • Keep a current inventory of models, tools, permissions and accountable owners.
  • Review quality and usage costs together; successful requests can still produce unsuitable outcomes.

Know what good looks like

  • Operational quality: failed tasks, escalations and resolution of recurring causes.
  • Change control: evaluation evidence and incidents associated with released changes.

Does managed operation guarantee every answer is correct?

No. The service manages agreed controls and response processes. Accuracy expectations, review responsibilities and supported use cases must be explicitly defined.

Strategy & Operations / 06

IT Helpdesk & Technical Support

Outsourced technical assistance and ticket resolution for agreed business applications.

Let’s discuss this capability ↗︎

Give people a clear route from interruption to resolution.

IT helpdesk support creates a structured intake for user issues and service requests. We define supported devices, applications and access processes, then agree triage and escalation. The objective is to restore useful work and maintain clear communication while recurring problems feed into longer-term improvements.

IN PRACTICE

Organise employee support requests

Illustrative engagement

01 / THE STARTING POINT

The challenge

Employees report access and application issues through several channels, leaving ownership and status unclear.

02 / THE WORK

Our approach

Create a supported intake route, define request categories and establish approved identity-verification and escalation steps. Maintain resolution notes and use recurring issues to improve guidance.

03 / THE DIFFERENCE

How it helps

Employees can understand what happens next and support owners can prioritise consistently. Coverage remains tied to the agreed support arrangement.

Explore delivery guidance & success measures

Build it thoughtfully

  • Verify identity through an approved process before account or access changes.
  • Separate incidents from routine requests and document escalation boundaries.

Know what good looks like

  • User experience: time to useful response and clarity of status updates.
  • Support flow: repeat contacts, unresolved requests and resolution within agreed targets.

Can the helpdesk support every application employees use?

Only the agreed catalogue is covered. Unsupported applications, vendor escalations and device boundaries should be documented before service begins.

03 / CONNECTED CAPABILITIES

Build confidence

Strategy & Operations / 07

Corporate AI Training

Role-based learning for generative AI, agentic workflows and responsible everyday use.

Let’s discuss this capability ↗︎

Help teams use AI well in their actual work.

Corporate AI training connects tool use to real roles, approved information and review habits. We assess participant needs and design practical exercises that reflect the work they perform. The aim is confident, critical use: knowing how to frame a task, check an output and recognise when AI is the wrong tool.

IN PRACTICE

Train a team to produce reviewed working drafts

Illustrative engagement

01 / THE STARTING POINT

The challenge

Employees experiment with AI independently but lack a shared approach to checking results and handling company information.

02 / THE WORK

Our approach

Create role-based exercises using approved sample material. Practise briefing, iteration, evidence checking and escalation, then provide reusable guidance and a follow-up activity for managers.

03 / THE DIFFERENCE

How it helps

Participants can apply a consistent workflow to appropriate tasks. Evaluate the quality of their work and review habits rather than attendance alone.

Explore delivery guidance & success measures

Build it thoughtfully

  • Use realistic exercises with approved data and make information-handling expectations explicit.
  • Teach verification and limitations alongside prompting techniques.

Know what good looks like

  • Learning: ability to complete and critique a representative task.
  • Application: useful adoption and adherence to agreed review practices after training.

Is the same workshop suitable for every role?

Usually not. Leaders, analysts and operational teams need different examples and depth. The programme should be shaped around participant tasks and starting knowledge.

HOW THE WORK CONNECTS

A practical path through the practice.

  1. 01

    Clarify the priority, constraints and people responsible for the decision.

  2. 02

    Agree outputs, responsibilities and a cadence for reviewing evidence.

  3. 03

    Transfer the work or continue with explicitly defined support and coverage.

SCOPE & COMMERCIALS

Combine capabilities.
Keep responsibilities clear.

The practice is a way to plan related work together. It does not require purchasing every service or changing your existing subscription.

Start with a bounded assessment, a defined project or an agreed allocation of specialist capacity. Pricing depends on the scope, dependencies and delivery model.

Confirm third-party costs, access, handover and ongoing support before work begins.

Discuss this practice ↗︎

RESEARCH & FURTHER READING

Explore the thinking behind the work.

Google SRE · Implementing SLOs ↗︎

A reference for defining reliability objectives that inform operating decisions.

Anthropic · Building effective agents ↗︎

A reference for choosing between predictable workflows and model-directed agents.

Further reading behind the practice. These resources do not imply vendor affiliation or certification. Engagement examples describe possible work, not customer results.