Training · Automation · Development

    I help companies useartificial intelligencein their daily work.

    I run training, build agents and automations, and develop software with AI. I work on projects with a fixed scope and timeline, and I start by understanding the process before proposing anything.

    Currently working onvoice agents
    workflow · invoicesrunning
    processing
    Microsoft 365 Copilot
    GitHub Copilot
    Voice agents
    RAG systems
    Multi-agent workflows
    Prompt libraries
    Document automation
    MCP integrations
    Model observability
    Custom assistants
    Training lessons
    Model evaluation
    Microsoft 365 Copilot
    GitHub Copilot
    Voice agents
    RAG systems
    Multi-agent workflows
    Prompt libraries
    Document automation
    MCP integrations
    Model observability
    Custom assistants
    Training lessons
    Model evaluation
    How I work

    2-3 weeks

    Assessment

    Interviews, a process map and a prioritised roadmap.

    4 weeks

    Pilot

    One scoped case, working and evaluated with real data.

    8 weeks

    Adoption programme

    Training, internal resources and usage measurement.

    Monthly

    Ongoing support

    Continuous help without building a team for it.

    Services

    Four areas of work 

    They can be booked separately or in sequence. Most people start with whichever one hurts most right now.

    See all services
    01

    AI training and adoption

    For companies that already have the tools but cannot get people to use them.

    See the service

    What it includes

    Microsoft 365 Copilot trainingGitHub Copilot and coding assistant trainingHands-on workshops by departmentInternal champion programmesFive to ten minute lessonsWebinars and live sessionsInternal AI newsletterResponsible use guidelines
    Package · 8-week adoption programme8 weeks
    02

    Internal knowledge and prompts

    For when the information exists but nobody knows where it is or whether it is current.

    See the service

    What it includes

    Prompt libraries by departmentUse case cataloguesInternal AI portalsAssistants connected to your documentationRAG systems with citations and traceabilityNatural language searchPolicy and procedure assistantsDocument generators
    Package · Internal AI portal4 to 6 weeks
    03

    Agents and automation

    For repetitive processes, or ones that require checking several systems before answering.

    See the service

    What it includes

    Customer service agentsVoice and telephony agentsSales support agentsInternal assistants for employeesEmail and document automationClassification and data extractionMulti-agent workflowsOperations automation
    Package · Pilot agent4 to 6 weeks
    04

    Software development with AI

    For when nothing on the market covers what you need.

    See the service

    What it includes

    Web applications with AIDigital products and SaaSLanguage model integrationExtensions and internal toolsCustom assistantsPrototypes and proofs of conceptMigration of manual processesAPIs and connectors
    Package · From idea to pilot in four weeks4 weeks
    How I work

    Six steps, from analysis to rollout 

    There is a real stopping point after the pilot: if it does not prove its value, the project stops and I explain why.

    See each step in detail
    01

    Discover

    I look at processes, teams, tools and opportunities.

    02

    Prioritise

    I rank the cases by impact, effort, feasibility and risk.

    03

    Prototype

    I build a scoped pilot and measure whether it actually helps.

    04

    Roll out

    I integrate the solution and train the people using it.

    05

    Measure

    I instrument adoption, quality, cost and latency.

    06

    Scale

    I add new cases and maintain the ones already running.

    Packages

    Work with a fixed scope and timeline 

    Four formats with defined deliverables, so you know what you get before signing. If you need something else, we adjust from here.

    Starting point

    Opportunity assessment

    2 to 3 weeks

    Knowing which processes AI helps with, and which it does not, before investing in any of them.

    • Interviews with the areas involved
    • Current process map
    • Use case catalogue
    • Prioritisation by impact, effort, feasibility and risk
    • Six-month roadmap
    • Impact and cost estimate

    At the end · A roadmap you can make decisions with.

    Interviews, analysis and a closing sessionRequest
    Training

    Copilot adoption programme

    8 weeks

    Going from underused licences to measured weekly usage, sustained by people inside.

    • Initial maturity assessment
    • General training for the whole organisation
    • Hands-on workshops by area
    • Corporate prompt library
    • Weekly lessons
    • Internal newsletter
    • Coaching sessions
    • Adoption measurement

    At the end · Measured adoption and the internal capacity to sustain it.

    On-site or remote workshops, plus permanent resourcesRequest
    Automation

    Pilot agent

    4 to 6 weeks

    One case working with real users, and data to decide whether to expand it.

    • Case selection and scoping
    • Conversation and flow design
    • Integration with one data source
    • Working prototype
    • Testing and evaluation
    • Basic metrics dashboard
    • Recommendations for production

    At the end · An agent in limited production, measured and documented.

    Fixed-scope project with a working handoverRequest
    Continuity

    Monthly support

    Monthly service

    Having someone looking after the company's AI without building a department for it.

    • Monthly internal newsletter
    • Short training lessons
    • Employee support
    • Prompt library maintenance
    • Idea generation and prioritisation of new cases
    • Review of tools on the market
    • Usage best practice
    • Building small agents
    • Adoption tracking

    At the end · AI capability sustained month to month.

    Subscription with set hours and fixed deliverablesRequest
    Work

    Demos you can watch running 

    I built these to show how each solution behaves before you commission it. Each one explains the problem, how it is built, with what and how long it took.

    See all work
    Demo

    Voice agent for a clinic

    Answers the call, offers real calendar slots and confirms the appointment without human intervention.

    conversation · simulation

    ☎ Incoming call · 09:42

    Agent: San Marcos Clinic, how can I help?

    Patient: I'd like to move my Thursday appointment.

    → checking calendar…

    Agent: I have Friday at 10:15 or Monday at 17:00.

    ✓ Appointment moved · confirmation sent

    See case
    Demo

    Document assistant with RAG

    Answers questions on internal procedures, always citing the document and its current version.

    conversation · simulation

    User: How much notice is required to resign?

    → searching 214 documents…

    → 3 relevant passages · high confidence

    Assistant: Fifteen calendar days.

    Source: Employee handbook v4.2 · art. 12 · current

    See case
    Demo

    Invoice automation

    Extracts, validates and records supplier invoices, leaving only the ones that do not add up for review.

    workflow · simulation

    email received · invoice_2847.pdf

    → classify · supplier invoice

    → extract · 14 fields · 12 line items

    → validate · order PO-1183 ✓ · amount ✓ · VAT ⚠

    ⚠ sent to review · VAT discrepancy 21% → 10%

    See case
    Own project

    Assisted development workflow

    From issue to pull request with an upfront specification, tests and automated review.

    terminal · simulation

    $ workflow run --issue 412

    → reading repository context

    → specification generated · awaiting review

    ✓ approved by @pablo

    → implementing · 6 files · 14 tests

    ✓ pull request #418 ready for review

    See case
    Resource

    Corporate prompt library

    The prompts that work stop depending on whoever discovered them.

    dashboard · simulation

    Prompt library · 68 entries

    Sales 14 · Operations 21 · HR 9 · Engineering 24

    Most used: "Meeting summary with actions"

    Added this week: 5 · reviewed: 12

    See case
    Demo

    Call analysis

    Transcribes, classifies and turns every conversation into follow-up tasks.

    workflow · simulation

    call 00:07:41 · transcribed

    → reason · billing issue

    → tone · negative (0.71)

    → commitment detected · "I'll call you Tuesday"

    ✓ task created in CRM · due Tuesday 10:00

    ⚠ alert sent to the account owner

    See case
    Questions

    Frequently asked questions 

    What people usually ask before we start. If something is missing, write to me and I will add it.

    No. The assessment and the pilot are designed for mid-sized companies that want to start without committing a large budget. What is needed is someone inside with the authority to decide.

    Next step

    Shall we talk about your case? 

    Tell me which process takes the most time. In half an hour I will tell you whether AI solves it, how I would approach it and what it would take.