This site uses optional Google services for analytics and advertising. They only start if you allow them.

Dr Mikhail Vasenin

Offers

Practical advisory formats for AI adoption and decision-support problems.

Each offer is designed to create a clear next step: diagnose the workflow, prioritise useful AI applications, improve forecasting and reporting, or structure executive decisions around analytical capability.

01

Forecasting and Decision Intelligence

Design better evidence-led forecasting, reporting, and decision-support workflows.

Best for

  • Founder-led businesses
  • Operations teams
  • Reporting-heavy SMEs

Typical output

  • Forecasting workflow review
  • KPI and signal design
  • Decision-support roadmap

Discuss forecasting support

02

Applied AI for Analytical Workflows

Move from shallow AI experiments to practical analytical workflows with human oversight.

Best for

  • Teams exploring AI
  • Innovation leads
  • Analytical functions

Typical output

  • AI workflow review
  • Automation opportunity map
  • Human-in-the-loop design

Map AI opportunities

03

Quantitative Finance and Market Intelligence

Apply rigorous quantitative framing to finance, fintech, digital-asset, and market questions.

Best for

  • Fintech teams
  • Finance leaders
  • Research-heavy organisations

Typical output

  • Market analysis briefing
  • Event-study framing
  • Evidence-led interpretation

Review market questions

04

Strategy Workshops and Executive Advisory

Give leadership teams a structured route through AI adoption, risk, priorities, and delivery.

Best for

  • Leadership teams
  • Professional services firms
  • Innovation programmes

Typical output

  • Executive workshop
  • Adoption priorities
  • Risk and governance framing

Plan a workshop

05

Sustainability and ESG Analytics Interpretation

Interpret sustainability and ESG information with attention to signal quality and decision relevance.

Best for

  • Sustainability-aware teams
  • Research groups
  • Finance and strategy functions

Typical output

  • ESG information review
  • Sustainability analytics framing
  • Evidence-led briefing

Explore specialist support

Indicative pricing

Productised starting points for serious advisory work.

These figures help qualify the conversation without pretending every AI adoption or decision-intelligence project has the same scope. Larger work remains scoped individually.

Indicative prices are shown ex VAT where applicable. Stripe or payment links can be enabled after fit and scope are agreed.

Indicative pricing

Free

30-45 minutes, no forced sales path.

Free fit conversation

A focused first conversation to map the business problem, available evidence, and whether advisory support is useful.

Best for checking fit before scoping paid advisory, a diagnostic sprint, or a workshop.

Indicative pricing

From £200

Indicative, ex VAT where applicable.

Paid advisory call

A focused expert call for a defined AI adoption, forecasting, or analytical workflow question.

Best after the free fit conversation if the question needs prepared expert input.

Indicative pricing

From £3,500

Indicative, ex VAT where applicable.

Diagnostic sprint

A short structured review of AI priorities, reporting workflows, forecasting discipline, or decision-support architecture.

Useful when the problem is specific enough for a written recommendation or roadmap.

Indicative pricing

From £1,800

Indicative, ex VAT where applicable.

Executive workshop

A leadership-facing workshop for AI adoption priorities, governance, and analytical capability planning.

Designed for teams that need a shared AI adoption and decision-support direction.

Indicative pricing

Scoped individually

Priced after fit, scope, and delivery responsibilities are clear.

Custom advisory or implementation support

Ongoing or deeper support for AI adoption, forecasting workflow redesign, decision dashboards, or analytical system handover.

Useful when the work depends on data access, stakeholder complexity, implementation depth, or handover needs.

Start with a focused conversation

Discuss where AI, forecasting, or decision-support workflows can create practical value.