The management operating system for the agent-human workforce.
philter is the system your company runs on — and the AI agency that installs it. We design your operating model, build your workspace, and put agents to work beside your people.
This week’s priorities
AI brief · Mon 08:00- Lock the vendor shortlist for the data platform — decision owner is confirmed.
- The Q3 partner update draft is due Thursday; last week’s metrics are attached.
Team board
12 open- Draft the Q3 partner updateThu
- Confirm the vendor shortlistWed
- Circulate the offsite agendaFri
Leadership sync — meeting record
4 decisions1 held for reviewWhat we do
We build the system. We rewire the work.
Three jobs most companies split across a consultancy, a software vendor, and an internal task force — done as one motion, so the design, the tooling, and the habits match.
Rewire how you run.
Working sessions with your leadership redesign decision rights, structure, and the project-management backbone around what AI actually changes. The output is an operating model your team owns — not a recommendation deck.
Build your workspace.
A management OS shaped to your company on the philter platform, live from week one: meetings, notes, and threads become decisions, tasks, deliverables, and deadlines — with briefs that land before anyone asks for a status update.
Put agents to work.
Agentic workflows with named jobs, defined outcomes, and a human review gate — wired into your stack, with your people trained to delegate to them, review them, and raise the bar.
What you get
What you walk away with.
- An operating model your team runs — decision rights, owners, and a cadence that holds.
- A workspace built for your company, live from week one and yours to keep.
- Agent workflows shipping real work, each with a named job and a review gate.
- A weekly rhythm of briefs and reviews that keeps the system compounding.
The platform
One place where work becomes clear.
Every engagement runs on a live workspace built for you — meetings and notes in; decisions, tasks, deliverables, and briefs out. Agents and people report to the same board.
This week’s priorities
AI brief · Mon 08:00- Lock the vendor shortlist for the data platform — decision owner is confirmed.
- The Q3 partner update draft is due Thursday; last week’s metrics are attached.
- The leadership offsite agenda needs a final read before Friday.
Team board
12 open- Draft the Q3 partner updateThu
- Confirm the vendor shortlistWed
- Circulate the offsite agendaFri
Leadership sync — meeting record
Recorded Tue · analyzed in 4 min
Capture becomes action
Meetings, notes, and email threads become tracked, owned work — automatically, with receipts.
Briefs that write themselves
Monday priorities and Friday recaps, grounded in the live board — no status meetings needed to feed them.
Judgment built in
AI proposals wait for human approval, so the board stays trustworthy enough to run the company on.
How we work
Not a report. A running system.
We work inside your company, not beside it: sessions with your leadership, the workspace live from week one, the first agents shipping real work within the month.
Map and design
Working sessions with your leadership: how decisions get made, where work stalls, what agents should own first. The operating model takes shape on the board — not in a deck.
Install
Your workspace goes live and the first agent workflows ship — real jobs with owners, deadlines, and definitions of done. Your team runs it with us.
Run and raise the bar
A weekly rhythm of briefs, reviews, and working sessions. Every cycle, more work moves onto the system — and the system gets sharper.
From the field
What installing philter actually looks like.
A two-hour leadership session becomes a structured record by the next morning — decisions, owners, and open questions, with the uncertain spots flagged instead of glossed.
A forwarded email thread becomes three tracked actions with receipts. Approving them is one click each — a verification pass already checked every proposal against the live board.
Monday, 08:00: a priorities brief grounded in the board lands in every inbox. Nobody wrote it. Friday, the recap closes the loop with what shipped.
A dozen working sessions in, the team runs an operating model that holds without us in the room — named owners, visible work, decisions that stay decided.
Who we are
Built by managers, for managers.
Fifteen combined years supervising work — including a decade at the world’s leading management consultancy.
Every workspace tool is shipping agents, every team is hiring them, and every leader is being asked to manage something they’ve never managed before. We’ve spent our careers learning what makes management work — the discipline is universal: who should do what, what they need to succeed, and how to know they did. The medium just changed.
philter is what we wished existed: the operating system for that job — built, installed, and run by people who’ve managed the work themselves.
- McKinsey & Company
- Sony
- A.P. Moller-Maersk
- Harvard Business School
- HEC Paris
FAQ
Questions, answered.
Is philter a product or a consultancy?
Both, on purpose. The platform is the management operating system your company runs on; the agency is how it takes hold — we design, install, and run it with you. You don’t buy licenses and hope; the system arrives working.
Who is philter for?
Founders and executives scaling AI-native organizations — and the chiefs of staff, heads of operations, and project leaders who orchestrate work across agents, people, and tools.
Do we have to replace the tools we already use?
No. philter sits on top of your existing stack and orchestrates work across it — there’s nothing to migrate.
What does an engagement look like?
Working sessions with your leadership, the workspace live from week one, agents shipping real jobs within the month — then a weekly rhythm of briefs and reviews that keeps it compounding.
What will it cost?
Engagements are scoped individually — the operating-model work, the workspace, and the agent workflows priced as one. The software ships as part of the engagement, not as a separate license.
Is my data secure?
Your data is isolated per organization with strict access controls, and we don’t use it to train shared models.