Our Tools
Software we built because the work needed it
Each of these started as a problem we hit on an engagement and couldn't solve with something we could buy. We use them ourselves before any client sees them, which is the only reason we trust them enough to offer them.
Solutioner.ai
The pipeline for AI work.
Most companies collect AI ideas in a spreadsheet, a Slack channel, and three people's heads. The ideas are usually good. What's missing is a way to say which ones are worth doing, in what order, and what became of the last dozen.
Solutioner turns each idea into a solution brief: the process it touches, what that process costs today, what it would save, and how complex the build is. Briefs move across a board from draft to delivered, and the numbers roll up, so a leadership team can look at the whole portfolio instead of a handful of anecdotes.
Dashboard
Every solution brief and what it is worth
Total briefs
14
This quarter
Process cost
$612k
Annual spend
Potential savings
$948k
If implemented
Avg time saved
42.6%
Across briefs
Potential savings over time
7d30d90dRecent briefs
The business case comes first
Each brief records annual process cost, projected savings, time reduction, and quality gain. You know what a solution is worth before anyone writes a line of code, and you can compare two of them honestly.
Three ways to get an idea in
A guided form for people who want structure, a quick submit for people who don't, and a conversation with Sully, the built-in assistant, for people who would rather talk it through than fill anything out.
Automatic leveling
Briefs are scored for complexity, so a two-hour automation and a six-month platform build don't sit in the same undifferentiated queue competing for the same attention.
The program, not just the pipeline
Wins tracking with actual realized savings, periodic operator snapshots that show where your team really stands, live lightning rounds during sessions, and a workshop schedule.
Who it's for: Companies running an AI program across more than one department.
Visit solutioner.ai →Skillhouse
Governance for the skills your AI reads.
Anthropic solved distribution. Connect a GitHub repository to your Claude organization and everyone has your skills within about thirty minutes. Management was left to you, and it locks out exactly the people who should be writing these files. The sales lead who knows what a good discovery call sounds like has no GitHub account, and shouldn't need one.
Skillhouse sits between your people and that repository. It knows your departments, who belongs to them, and who can approve changes for each one. An employee works on a skill with Claude in plain conversation, Skillhouse checks the draft before it is ever submitted, and the department's approver sees a summary, the risk flags, and a side-by-side diff. On approval it commits through a GitHub App, or opens a pull request instead if your IT team wants a gate.
Proposals / sales-call-recap
sales-call-recap
Waiting for reviewdunder-mifflin-sales · Scranton Branch · Proposed by [email protected] · Sep 14, 4:12 PM
What this change does
The sales-call-recap skill gains a required “paper stock discussed” field, so a recap records which product lines came up on the call. Claude prompts for it when a rep leaves it out. Nothing was removed.
Reads last quarter’s order history from the sales system, which sends client purchase data to an outside tool.
Your decision
Approve and publishRequest changesRejectTimeline
Publishes to the marketplace repo. Claude picks it up within about 30 minutes.
Proposals happen inside Claude
Claude fetches the live skill through Skillhouse, works the change out with the requester in conversation, and submits it. No repo access, no branches, no ticket sitting in someone else's queue.
Checked before a human sees it
Every draft is linted and reviewed by Claude first, producing a plain-English summary and risk flags, such as a skill that would send client data to an outside system. The requester fixes problems before an approver ever spends time on them.
Approval that matches your org
Proposals route to the approvers for that department. They can approve and publish, request changes with a note, edit before approving, or reject. A base-drift warning fires if the skill moved underneath the proposal.
A real audit trail
Every change is a signed commit. Every version is kept, any skill can be rolled back, and the log records who proposed, who approved, and when it went live.
Who it's for: Any company whose Claude skills live in a repo that one person has become the bottleneck for.
Read why we built it →Atlas
A living map of how the company actually runs.
The standard deliverable for an operations assessment is a deck. It is accurate the week it lands and stale by the next quarter, because nothing about a slide invites anyone to update it. The knowledge it captured goes back to where it came from: who hands what to whom, which step everyone quietly dreads, and which spreadsheet the entire process depends on.
Atlas replaces that deck with a map the client keeps. Our consultants build it during an embed, either on a canvas or by talking to Claude, and every person, workflow, step, decision, and system becomes a typed record with provenance and a verification state. Bottlenecks, manual work, tribal knowledge, and failure points attach to the exact steps where they occur, which is precisely where the opportunities are.
Paper Order to Delivery
Owner Michael ScottPerforms Jim HalpertWho does it
What it touches
Captured by talking, not by drawing
A consultant tells Claude how the rights team works and the assistant extracts the people, steps, handoffs, and systems, writing them to the map as unverified until a human confirms them.
A typed graph, not a whiteboard
Eleven node types and seventeen kinds of relationship, each a structured record rather than a sticky note. That is what makes the map queryable, and what lets it be checked for what's missing.
The problems sit where they happen
A bottleneck badge lives on the approval step that causes it. Manual work lives on the step being re-keyed by hand. You read the map and the opportunities are already located.
It survives the engagement
Gadoci provisions and populates the workspace during the embed. Afterward the client's own maintainers keep it current, which is the whole point. The asset outlives the consultant.
Who it's for: Clients in an AI embed engagement who want the assessment to still be true a year from now.
Ask about early access →Prompt Manager
A queue between a consultant and Claude Code.
When you are running work across a dozen projects, ideas arrive faster than anyone can act on them. The usual responses all fail in their own way. Start one and the rest evaporate. Dump everything into a single long prompt and the model splits its attention and does each piece a little worse. Stash them in a notes app and within a week they are sprawled across a dozen files, out of order and disconnected from the project they belonged to.
Prompt Manager gives every project a board. Prompts land in Backlog the moment you think of them, get dispatched into a live terminal session one at a time so each one gets clean context, and finish in Done with the result attached. Because the board belongs to the project rather than to any one terminal window, the history travels with it.
dm-order-portal
Focus✦ SummarizeTee up a prompt… (@ to insert a snippet)
Add bulk pricing tiers above 50 reams
Fix the Scranton address on invoices
Dedupe pallet counts on the night shift scan
Runs one at a time. 2 queued behind this.
Add a Pretzel Day banner to the intranet
Move the customer list off the Sabre export
Capture without breaking focus
Type the idea as a sentence and keep working. You stop holding five things in your head, and you stop interrupting the task in front of you to service each one as it arrives.
One job at a time, in order
The queue runs sequentially. Stack five jobs and walk away, and they run one after another with clean context each time, which is why the output is better than one prompt carrying ten unrelated asks.
Context that outlives the session
A Claude session forgets when it ends. A project doesn't. Open one cold after a few days and a one-click recap tells you where things stand, drawn from what actually finished.
Works from your phone
Queue work, reorder it, and see which sessions are running and which are waiting on a human answer, all from away from the desk.
Who it's for: Our own consultants. This one runs the shop rather than being something we sell.
Read how it works →Want one of these inside your company?
If you're interested in deploying one of our tools inside your company, get in touch. We'll tell you honestly whether it fits, and what it would take.
Get in Touch