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The Kowalah Claude Connector exposes 20 tools, nine that read and eleven that write, grouped into six jobs: keeping up with your programme, checking your own training, reading your AI Operating Model, maintaining it, keeping your systems register and AI estate, and recording the value AI has delivered. Every tool is scoped to organizations you belong to and filtered by your role in each one, so you never see anything Kowalah hasn’t given you access to in the platform.

Your programme

Get an update, find an accelerator, raise an opportunity

Your training

What you’re booked on, your agenda, how you’re getting on

Reading the operating model

Your unit tree, one unit’s portfolio, one process in full

Changing the operating model

Edit what you own, propose changes to what you don’t

Systems and AI estate

The tools you run on, and the AI you’ve actually switched on

Outcomes

Record and report the value AI has delivered

Your programme

kowalah_get_update

A single tool for any “how are things”, “what’s the status of X”, “what’s waiting for me” question. Pass an optional natural-language query; the server figures out whether you want a portfolio rollup, a focused view of a specific thing, or just your identity and organizations.

Pending discoveries in the home view

If Kowalah is running a Discovery and you’re on the audience, the home view includes a pending_discoveries section with:
  • The discovery number (e.g. DISC-0003) and name
  • The goal, what Kowalah is researching
  • The business value context, why it matters
  • The close date, when the discovery stops collecting responses
  • The project the discovery sits against (if any)
You only see your own invite. You don’t see other people’s responses or Kowalah’s internal triage. Pending discoveries are independent of your role: members, core team, and admins all see whatever they’ve personally been invited to.

What a focused view returns

kowalah_find_accelerator

Searches Kowalah’s global accelerator library plus your organization’s private accelerators for a reusable prompt, GPT, training, or workflow. Use this whenever you’re about to raise a request for help. There may already be something on the shelf you can take and run with.
Results often include a try-it-now prompt that Claude can act on directly inside the same chat.

kowalah_create_opportunity

The single inbound entry point for everything a customer wants to raise with Kowalah: a question, an idea, a piece of work to scope, a new project to consider. Anyone in your organization can submit, regardless of role. You don’t have to decide whether the work is an Expert Request, a Deliverable, or a Project. Kowalah’s team triages from there. Before submitting, Claude is expected to:
  1. Check the accelerator library for something that already solves the problem
  2. Make sure the description is at least a paragraph (~80+ characters of real context: goal, what good looks like, anything Kowalah should know). The server rejects anything shorter
  3. Capture an ICE score (impact, confidence, ease) with a reason for each
  4. Where your organization has an AI vision map, name the guiding principle the opportunity serves and the KPI it moves
  5. Ask which organization the opportunity is for (if you belong to more than one)

Linking an opportunity to a discovery

If you’re responding to a Kowalah discovery you’ve been invited to, Claude passes the discovery_id through when it submits. The server then:
  • Validates that you’re actually on the discovery’s audience
  • Stamps the opportunity with the discovery and its project
  • Marks your audience invite as responded so reminders stop
You’ll see this happen automatically when you ask Claude to respond to a pending discovery. There’s nothing extra you need to type.

Your training

kowalah_get_my_training

Your own Kowalah training record: what you’re booked on, your agenda for the day, and how you’re getting on.
Pass a kind to choose the view:
This tool only ever shows your own training, matched to you by Kowalah account or email address. It never exposes other participants, their results, the cohort roster, trainer notes, or anyone else’s feedback. org_overview is counts and averages with no named individuals and no free-text comments; everyone else asking for it gets a not-permitted note.If you’re enrolled but the tool says you aren’t, the training may be registered against a different email address. Contact your Kowalah team.

Reading your operating model

These four tools give Claude your AI Operating Model: the map of how your organization actually works, and how much of it AI could support. Everyone in your organization can read the whole map, whatever their role.

kowalah_get_operating_model

The world view. Returns your unit tree with coverage rollups on every node (coverage %, process count, redesign-gap count, constraint count, rolled up across each unit’s whole subtree), plus org-wide totals and a narratable summary.
Pass organization_id only if you belong to more than one organization. If nothing has been mapped yet, the tool says so rather than returning an empty tree.

kowalah_get_operating_model_unit

One unit in focus: its subtree coverage rollup, the processes it owns directly (each with its own rollup), its child units, and the top redesign-backlog steps across its processes, ranked by constraint and coordination burden.

kowalah_get_process

One process in full, and the richest thing the connector returns. Includes:
  • Process metadata: purpose, cadence, criticality, owners, owning unit
  • Ordered steps with current to target dispositions, and gap and constraint markers
  • The DEFINE contract on each step: acceptance criteria, input artifact, output artifact
  • Per-step implementation links and per-step quality evals, with target versus current scores
  • A process-level rollup and the ranked redesign backlog
  • Inter-process connections, the handoffs and feeds touching this process
  • Initiatives already aimed at it, the opportunities, deliverables, and projects linked to the process or to one of its steps
  • The systems each step runs on, from your systems register, and the AI assets that run it
  • Outcomes recorded on the process and its steps, with totals that keep claimed apart from verified, and one-off apart from recurring
  • Notes: evidence, observations, decisions, and the open questions still to answer
  • A diagnosis of how well the process is captured. A missing measurement reads as “can’t say”, never as zero: the cycle ratio (work time over elapsed time) only appears when every step is timed
The response also carries an access block telling Claude what you may do to this process, so it can offer the right next step rather than attempting an edit that gets refused. See who can change what.
Initiatives are filtered to what you personally may see, so this list can legitimately differ between two colleagues looking at the same process.

kowalah_get_vision

Your organization’s AI vision map: the vision statement, its guiding principles with their defining attributes, and the success measures, with a baseline, a target, and a current reading where they’ve been set. Pass a unit to get the vision that unit inherits.
The vision map is read-only through the connector. It’s created with Kowalah at an AI Vision Day.

Changing your operating model

Reading the map is open to everyone. Changing it depends on where the thing you’re changing sits relative to you, which the connector resolves on every call. If you can’t edit something directly, the answer is never a dead end: it routes to a proposal.

kowalah_save_process

Creates or updates a process. On create, the process number is allocated automatically and the owner defaults to the owning unit’s leader. On update, only the fields you provide change. You can re-parent a process to a different unit within the same organization.

kowalah_save_process_step

Creates or updates a step within a process. On create, position defaults to append and the current disposition defaults to human.
The Jidoka rule. If a step’s target disposition is ai_autonomous, it must carry an escalation trigger: the stop-condition that hands control back to a human. A partial update that would leave a step autonomous without a trigger is rejected. This is enforced by the server, not just the UI.

kowalah_save_process_step_eval

Creates or updates an eval on a step: the quality check that its output meets its acceptance criteria. This is how a business owner sets and tracks the bar, for example “what counts as a good forecast category call” or “what a compliant response looks like”.
  • A gate blocks the step until it passes. It’s all-or-nothing and cannot carry a sampling percentage.
  • A monitor observes a sample, and may set a sampling percentage from 0 to 100.
  • target_score is the bar; current_score and measured_at record the latest reading.
Creating an eval needs edit rights on the parent process. Once it exists, the eval’s owner can keep editing it even if the process itself sits above their altitude, so a function lead can own the quality bar on a process they don’t otherwise control.

kowalah_save_org_unit

Creates or updates a node of your org-unit tree. For a child unit, pass a parent; the organization is inherited. Creating a root unit reshapes the top of the org chart and is restricted to admins and core team.

kowalah_save_process_connection

Creates, updates, or removes a connection between two processes: a handoff (“qualified deals pass to Proposal”) or a feed. Connections are what make the operating model a map of how work moves rather than a list. Because a connection touches both processes, you need edit rights on both ends.

kowalah_propose_redesign

Creates a to-be version of a process beside the original, so the two can be compared. It starts from the as-is and from the redesign decisions already marked on its steps: steps marked eliminate or merge don’t come across, and a step with no decision is carried rather than dropped. The original process isn’t changed, and you can put more than one option side by side.

kowalah_propose_process_change

The route when you can’t edit directly. Instead of changing the process, it files an Opportunity linked to that process, and optionally pinned to one step, so the owner can pick it up.
Use it for “this step should be automated”, “the acceptance criteria here are wrong”, “we should add a quality gate”, anything you would change if it were yours. Anyone in the organization can propose against any process they can see, and nothing about the process itself is modified.

Who can change what

Your ability to edit the operating model is governed by your altitude: where the target sits relative to your home unit in the org tree. This is a different axis from your role, which governs what you can see.
Admins and core team are cross-cutting editors within their own organization: they can edit and create anywhere in it. Being an admin in one organization confers nothing in another.If no home unit has been set for you, everything resolves to the safe default of read and propose. Ask your organization admin to set your home unit if you should be able to edit.
Because kowalah_get_process returns your resolved access up front, Claude can offer “shall I change that, or propose it to the owner?” rather than trying an edit and reporting a refusal.
Projects, deliverables, Expert Requests, contracts, and existing opportunities are read-only through the connector, whatever your altitude or role. Processes, steps, evals, units, systems, and AI assets are never deleted (steps, systems, and AI assets are archived instead). The only removals are narrow: a connection between two processes, an arrangement on a system (admins and core team), and an outcome, which is soft-deleted. Each is recorded in the model’s history.

Your systems register and AI estate

The systems register is the tools and platforms your work runs on, whether each has AI in it, and how your organization holds it. The AI estate is what has actually been built and switched on in them: connectors, skills, plugins, projects, agents, automations, and apps. Everyone in the organization can read both.

kowalah_get_systems

Every system with its arrangements: the ways your organization holds it (tier, seats, who the contracting party is, whether there’s a DPA, whether it trains on your data, admin control, audit trail, and sanctioned status). One system often has several, for example a company plan alongside personal plans people pay for themselves.
The register flags what to act on: unreviewed arrangements, risks such as employee-contracted tools with no DPA, AI systems with no arrangement recorded, systems no process step uses, and renewals due in the next 90 days. Commercial fields (cost, payment route, renewal date) are shown to admins and core team only.

kowalah_save_system

Adds or updates a system and its arrangements. Admins and core team only. Kowalah’s shared catalogue systems can’t be edited, but you can record your own arrangements on them. A field you leave unset means “not assessed”, which is different from “no”.

kowalah_get_ai_estate

Every AI asset recorded, with its platform, owner, status, scope, who has used it and where, the process steps it runs, and the outcomes it produced. It leads with the gaps: assets with no owner, undecided ones, ones nobody has used for 90 days, connectors that can act with nobody approving, people holding a lot of connections, personal assets, and shadow AI running on a platform your organization hasn’t approved.

kowalah_record_ai_assets

Records the AI tools someone’s Claude session uses, and what they say about each one. Claude shows you the list before saving, and records only what you agree to share.
Only names and identifiers are recorded: never a skill’s instructions, a prompt, a tool description, or a project’s contents. Anyone can mark something as their own personal asset; admins and core team decide everything else about an asset.

Outcomes

kowalah_save_outcome

Records realised value, such as time saved, cost reduced, revenue won, or an adoption milestone, on any work: a process step, a process, a unit, an opportunity, the whole organization, or a Kowalah deliverable or Expert Request. An outcome can say which AI asset produced it and which vision measure it counts towards.
  • Anyone can record an outcome. It’s recorded as a claim, with how the figure was arrived at: estimated, sampled, or measured.
  • Admins and core team can verify an outcome, in their own name. Changing a verified figure makes it a claim again.
  • A figure carries a comparable unit (hours, count, percent, or a currency) so outcomes can be added up.
  • Removing an outcome is a soft delete.

Confirmation before changes

Tools that change or remove existing data are marked as destructive, so Claude asks you before running them: the four save tools for the operating model, process connections, the systems register, the AI estate, and outcomes. Tools that only add something new, such as raising an opportunity, proposing a change, or proposing a redesign, run without that extra step.

Prompts

The connector also registers a few prompts you can pick from Claude’s prompt menu (the ”+” attachment or slash menu, depending on which Claude client you’re using). Some are role-gated. Members don’t see Programme update or Expert Request credits and quota in the prompt menu. They’re only registered for privileged roles.

Resources

Alongside tools, the connector exposes your accelerators, opportunities, projects, deliverables, and Expert Requests as MCP resources, so Claude clients that support resource browsing can attach them to a conversation directly. Resources are filtered by exactly the same rules as the tools, and the filter is re-checked on read, so a hand-typed identifier can’t bypass it.

What your role changes

Role governs visibility. Altitude, above, governs editing. A no_match response for a known reference number usually means the item exists but you’re not permitted to see it, not that it doesn’t exist. This is most common for members who aren’t on the stakeholder list for a given project, deliverable, or Expert Request. A few things are different:
  • Discovery invites are personal to you, so you always see your own pending discoveries regardless of role.
  • Training is personal to you: everyone sees their own record only, and only admins and core team can pull the anonymised org rollup.
  • The systems register is readable by everyone, but only admins and core team can change it or see its commercial fields.
  • Outcomes can be recorded by anyone, and verified only by admins and core team.

Data filtering

The connector enforces visibility on the server side:
  • Organization scoping, only data from organizations you belong to is ever returned
  • Role-based filtering, members only see what they raised or are a stakeholder on
  • Altitude gating, operating-model writes are checked against your position in the org tree, after org scoping
  • Client visibility flags, tasks, risks, and decisions are filtered to client-visible items
  • Discovery audience gate, opportunity submissions tagged with a discovery_id are rejected if you’re not on the audience
  • Identity scoping, training data is matched to you personally by account or email
  • Field filtering, internal fields (Kowalah team assignments, contract values, payment details) are not exposed, and Kowalah-side ownership can’t be set by a client even on records you create

Set up in Claude

Add the connector to your Claude workspace

Work your operating model in Claude

Map, review, and improve processes in conversation

Roles and permissions

Full role reference

Security and data access

How the connector is scoped and gated