AI Transformation – SpotView
We bring AI into the way companies operate.
We build teams' skills, orchestrate agents and systems and manage how they evolve over time. We turn experiments into shared ways of working and integrated processes, with measurable results.
Adoption is designed.
The value of AI does not depend on technology alone, but on the ability to integrate it into people's work.
That is why we start from real processes and from the skills and tools already in use in the company. We identify opportunities, define rules and responsibilities and build solutions that can be adopted, measured and improved over time.
Every project starts from goals and baseline measures: quality of work, time, operational capacity, costs. They are the benchmark against which we assess every intervention.
The goal is not to introduce more AI, but to put it in a position to generate measurable value for the organisation.
From skills to processes, through to ongoing management.
Three areas of work to support organisations as they adopt and evolve AI.
- 01
AI Adoption
From individual use of AI to a shared way of working.
We support teams as they integrate AI into everyday activities. We turn skills, procedures and company knowledge into shared skills and tools, building ways of working in which people know how to assign tasks to AI, evaluate the results and improve them. The know-how developed becomes a reusable asset for the organisation.
What we work on
- Analysis of AI use and opportunities across departments
- Training and hands-on support on real activities and tools
- Guidelines, policies and usage rules
- Creation of shared skills, prompts and resources
- Identification and prioritisation of use cases
- Production, evaluation and review workflows
- Ownership of skill updates
- Measurement of adoption, quality and time
A real example
A marketing team learns to work with Claude through shared skills to analyse a brief, develop a campaign plan and review content. Each skill embeds the company's guidelines, examples and quality criteria. The team evaluates the outputs, corrects the instructions and validates new versions, making the improvements available to the whole department.
- 02
AI Agent Enablement
Agents, people and systems orchestrated to move work forward.
We design and integrate agentic systems that coordinate activities, data and tools across business processes. We connect specialised agents, workflows and applications, defining how work is distributed, what information is shared and when people step in. From the initial request to execution, every step has defined goals, responsibilities and levels of autonomy.
What we work on
- Analysis and selection of use cases
- Orchestration of agents and workflows
- Context design and access to company knowledge
- Integration with CRM, ERP, eCommerce and other systems
- Permissions, controls and levels of autonomy
- Handling of exceptions and handovers to people
- Testing, validation and release to production
A real example
A B2B quote request triggers a workflow that coordinates agents and systems to interpret the customer's needs, check catalogue and availability, verify price lists and commercial terms and prepare a proposal. The sales rep approves discounts and exceptions; the system updates the CRM and, once the offer is accepted, starts the order in the ERP.
- 03
Managed AI Operations
Autonomy for teams. Ongoing support to evolve.
We give teams what they need to manage and evolve AI solutions, transferring skills, tools and documentation. We define shared responsibilities and procedures, so the company can monitor results, update knowledge and govern how agents work, independently too.
We support clients with the level of help they need, from specialist assistance to ongoing management. We monitor operation, quality of results, costs and performance, stepping in to keep solutions reliable and aligned with the company's needs.
We support change over time: new procedures, new data, changes to integrations and model updates. We also work on set-ups that use different technologies or vendors.
What we work on
- Monitoring of performance and quality
- Anomaly handling and agent optimisation
- Cost control and evaluation of results
- Oversight of access, data and responsibilities
- Periodic evaluations on real cases
- Testing before updates and version management
- Continuous evolution of the solutions in place
A real example
A catalogue update increases exceptions in the B2B quoting process. We find the cause, update the sources and the agents' instructions and verify the change on test cases before release. We measure the effect on quote accuracy, handling time, manual interventions and cost per case.
Technical independence. Freedom to evolve.
We are vendor agnostic and model agnostic: together with the client, we choose platforms, models and orchestration tools based on goals, existing systems and the team's skills.
We use state-of-the-art technologies, assessing their quality, reliability, costs and integration options. We design solutions to avoid lock-in, favouring open standards, replaceable components and portability of data, instructions and workflows.
We share documentation, configurations and access and management procedures, so clients keep control of their solutions and can evolve them, independently too.
Why SpotView
Experience makes the difference. In AI too.
- 01
We know the work we want to transform.
For years we have worked on Commerce, marketing and operations alongside our clients' teams. We know the processes AI has to improve, the people who carry them out and the results they are measured on.
- 02
We know the processes and the technologies.
Every day we work with eCommerce platforms, CRMs, ERPs and business systems. This lets us design agents and automations that do not remain isolated tools, but become part of existing processes.
- 03
We apply the method to our own work too.
We follow the same path we propose to clients inside the agency: shared skills, agents in internal processes and measurement of results. We know its possibilities, its limits and its impact on everyday work.
AI runs through everything we do.
AI Transformation focuses on how organisations evolve. But for us artificial intelligence is a cross-cutting element that runs through behaviours, platforms and services. And we manage it with the broadest possible view.