Enablement · The programmes

Genuine AI fluency at every level of the firm, from analyst to partner.

Hands-on Claude sessions that take an entire firm from first principles to building with the most advanced tools in the suite.

A team trained once is a team falling behind. The technology underneath this work shifts on a weekly cadence, so a firm that trained six months ago is already operating on stale knowledge.

Our programmes are monthly precisely because the technology is weekly. Each person learns to recognise where Claude belongs in their own work, and stays current as the market keeps moving.

Always on the frontier

The frontier moves weekly. We keep your team on it.

New models, tools, and capabilities arrive on a weekly cadence. Our sessions land at a steady rhythm so the team is never more than one step behind the edge.

Timeline: frontier developments arrive weekly; Solven sessions land monthly, keeping the team within one step of the edge.

How it works

On your own workflows, not generic demonstrations.

  1. i Hands-on, on the real work.Sessions run on the firm's actual deals, models, memos, and reports, so each person leaves knowing where Claude fits their day.
  2. ii Month one is breadth.Orientation across the full Claude ecosystem, from first principles to building, so the whole team shares a map of what is possible.
  3. iii From month two, we go deep.Later sessions concentrate on the areas the team finds most valuable. The session's arc stays; the path adapts.
  4. iv Trainers read the room.The topics below are guidance, not a script. Pace and emphasis follow the people in the room, analyst to partner.

What we cover

The full Claude toolkit.

Each person learns which tool fits which part of their work, so the whole suite is in play, not just the chat box.

Claude.ai

01

Research, drafting, and analysis in the browser, with Projects, files, and web search in one place.

Claude Code

02

The most capable tool in the suite, and far more than a developer tool: organising files, automating recurring work, building real systems.

Session four

Claude for Chrome

03

Claude working alongside the pages and tools your team already uses, without leaving the browser.

Claude Cowork

04

Claude that takes actions across the desktop, running a workflow end to end rather than only generating text.

Session three

Claude for Excel

05

Formula generation and audit, data cleaning, and model building, with Claude reasoning across the whole workbook.

Session three

Claude for PowerPoint

06

Decks, charts, and IC-ready memos drawn from outlines, notes, or source documents, aligned to the house format.

Session three

The four-session arc.

From how a model actually thinks, through conversation and production, to building agentic systems with Claude Code.

01

Session one · Foundations

How AI thinks.

Understand what a model is doing well enough to know when to trust it, and when to push back.

  • The history of AI through the transformer breakthrough
  • Tokens, embeddings, vectors, and attention
  • How generation works: probability, sampling, run-to-run variance
  • Where Claude is sharpest, where it fails, and why hallucinations happen
  • The analyst-first principle and the habit of verification

How a model turns text into output

Textraw input Tokenscomputable units Vectorsmeaning as geometry Attentionwhat matters Outputprobabilistic
02

Session two · Conversation

Claude.ai.

The prompting craft that separates competent output from compelling, and the devil's advocate pattern at its core.

  • The interface: chat, Projects, Memory, files, web search, Artifacts
  • Structured prompting: XML tagging, role framing, output specs
  • Few-shot prompting, chain-of-thought, and metaprompting
  • The devil's advocate pattern: Claude as critic, not author
  • Context-window management, token economics, knowing when to stop

Anatomy of a structured prompt

Context Instructions Examples Output spec
03

Session three · Production

Claude in the tools you already use.

Where the team's deliverables actually live: the workbook, the deck, and across the desktop.

  • Claude for Excel: formula generation, audit trails, financial models, cross-sheet reasoning
  • Claude for PowerPoint: decks from outlines, brand-aligning, IC-ready memos
  • Claude Cowork: desktop automation and multi-app workflows
  • The bigger idea: tools and function calling
  • Why Claude + tools is fundamentally more capable than Claude alone

Tools around the model

Excelmodels & data PowerPointdecks & memos Coworkdesktop agent
Claude + toolsfunction calling
04

Session four · Construction

Building with Claude Code.

The most capable tool in the suite, far beyond a developer tool: where AI-native workflows compound month over month.

  • The agentic loop, version-controlled prompts, and markdown fluency
  • Skills & SKILL.md: packaging team expertise as deployable capability
  • MCP: connecting Claude to databases, APIs, and internal systems
  • The infinite-horizon problem and explicit done-conditions
  • Automation patterns: structured extraction, batch processing, report generation

The agentic loop

Plandecompose Actexecute Verifycheck work Iteraterefine
Iterate feeds back into the plan; the loop runs until the done-condition is met.

The thread

Every session carries the analyst-first principle.

Analysts produce the formative work first, then bring Claude in as a critic, a red-teamer, and a verifier.

The risk in any rollout is that talented people become editors of drafts they cannot fully defend. We design every session the other way round. Verification habits, the devil's advocate pattern, AI as critic rather than author: the same skills that unconstrained use erodes are the ones we build.

That is what we mean by augmentation without cognitive atrophy, and it runs through all four sessions and everything that follows them.

Programme structure

Built to flex around the firm.

Month to month

Programmes run monthly with no minimum commitment. Stay as long as the frontier keeps moving, which is to say, as long as it is useful.

Sessions plus build hours

Training pairs with optional build and consulting hours, so confidence from the room turns into real systems on real workflows.

On site or remote

Delivered at your office in Lisbon, remotely, or a mix. The format follows the team, not the other way round.

Open to the whole firm

Analyst to managing partner. Fluency is a firm-wide capability, not a specialism held by a few. Each engagement is scoped and priced bespoke.

Questions firms ask before they book.

Straight answers to the questions that usually precede the first call. Anything unanswered here is a good opening for the call itself.

How is an engagement priced?

Each engagement is scoped and priced individually: a six-person deal team and a forty-person firm are not the same programme. Programmes run monthly with no minimum commitment, so the decision you are making is a month's decision, not a year's.

How much of the team's time does the programme take?

Month one is four sessions covering the full arc, from how a model thinks through to building with Claude Code. From month two the cadence is monthly, going deep on the areas the team finds most valuable. Sessions run on your own deals, models, and memos, so the time is spent on the actual work rather than beside it.

What happens to our firm's data during the sessions?

Sessions run on your actual deals, models, and memos, so this question deserves a precise answer rather than a reassuring one. Data handling is settled during scoping, before any material is opened: whose accounts the work passes through, on what terms, and what, if anything, is retained afterwards. The answers are put in writing before the first session.

Which AI tools do you train on, and are we locking ourselves into one vendor?

We train on the Claude suite: Claude.ai, Claude Code, and Claude in Excel, PowerPoint, Chrome, and Cowork. Solven is a member of the Anthropic Partner Network. That is a deliberate position, not an accident. On lock-in: session one teaches how any large model works, from tokens, attention, and probability to where hallucinations come from, and the verification habits we build are model-agnostic. If the market shifts, the fluency travels with your team.

Are the sessions delivered in Portuguese or English?

Either, or both. We are based in Lisbon and work with firms from Lisbon to London, so sessions run in the language the room prefers. Written materials are in English, because the tools and the frontier are.

How do we know the programme worked?

Three ways the firm can see rather than take on trust. The work itself: output that is defensible at investment committee, with the human contribution legible to senior reviewers. The token P&L from our token economics work: what each workflow costs and what it returns, in a form the partners can read. And the calibration reviews built into the methodology, which surface drift before it compounds.

Why Solven rather than a large consultancy, or doing this in-house?

Three honest reasons. The work is specific: we do one thing, for investment firms, and sessions run on your deals and memos rather than a generic curriculum. The cadence is the product: the technology shifts weekly, and a one-off training project, internal or external, is stale within a quarter; our engagement is monthly because the frontier is. And the thesis is different: most enablement measures adoption; we design against cognitive offloading, so judgment gets sharper rather than thinner. If what a firm mainly needs is change management across a thousand seats, a large consultancy is the right call, and we will say so.

What happens after the programme ends?

The engagement is monthly with no minimum commitment, so ending is a decision you can make any month. What the firm keeps: the verification habits; the prompts and skills built in session four, version-controlled files that live in your systems; and anything produced in build hours. Nothing is designed to make leaving hard.

Will this make our analysts dependent on AI?

That risk is the reason the firm exists. The failure mode in most rollouts is not adoption failure; it is analysts becoming editors of drafts they cannot defend. Every session is built the other way round: the analyst produces a defensible first pass, then brings Claude in as a critic, a red-teamer, and a verifier. Used this way, the model sharpens exactly the skills that unconstrained use erodes. We call it augmentation without cognitive atrophy.

Can partners attend, or is this for analysts?

The whole firm, analyst to managing partner. Fluency is a firm-wide capability, not a specialism held by a few, and each session is paced to the people in the room. The partners' sessions matter most: senior-led review is how the verification discipline holds.

Member of the Anthropic Partner Network · Phase 1

A conversation to tune the programme to your firm's priorities.

Tell us where your team is today and what the next quarter looks like. We will shape the arc around it.