Fill vs Magnit

A modern alternative to Magnit.

Software your own team runs, live in weeks, with 98% adoption and European-first compliance, instead of an outsourced MSP and VMS program.

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Fill vs Magnit at a glance

Criterion
Fill
Magnit
Built for
Consultant and SOW spend specifically — one record per engagement from brief to invoice.
Large contingent workforce programs: a combined MSP and VMS, plus services procurement and payrolling.
AI approach
AI-native: agents run sourcing, rate benchmarking and reconciliation — you approve every decision.
Maggi AI in Magnit VMS for matching and workflow automation; the platform is described as built with generative AI at its core.
Proof style
Outcome metrics: €2M average year-one savings, 14% lower rate cards, 98% hiring-manager adoption.
Analyst recognition (Everest Group, Ardent Partners, SIA, NelsonHall) and scale: 600+ clients, 900K+ contingent workers.
Time to live
Designed to go live in weeks, without a program office.
Positioned on quick deployment and open APIs; no implementation timeline published.
Operating model
Software your own team runs, with AI agents doing the program work.
An MSP service and a VMS from one provider; Magnit's team can run the program for you.
EU fit
EU-native: European data residency posture, no training on your data, built for Nordic and European enterprises.
US-headquartered (California) with European offices including Frankfurt, Stockholm and Zurich; states SOC 2 Type II, ISO 27001 and GDPR compliance.
Buying motion
See your own use case in a demo and start without an enterprise procurement cycle.
Pricing is not published.
▣Live in weeks
⊞98% hiring-manager adoption
≡European-first compliance
☰AI in every workflow

Where Fill differs from Magnit.

  • 01Live in weeks, without an outsourced program office.
  • 0298% adoption, because hiring managers want to use it.
  • 03European-first compliance: GDPR, BankID, EU AI Act, CSRD.
  • 04AI native to every workflow — sourcing, scoring, reconciling.

Where Fill outpaces Magnit.

Setup · Day 28
Vendors imported
HRIS connected
Procurement live
Hiring managers onboarded

Days to value, not months

Fill goes live in weeks, end-to-end, run by your own team. No program office to stand up and no MSP to onboard first.

Active consultants — All vendors
Janica EllisenKnowit
Sophie HabibSigma
Clara PedersenHiQ

98% adoption, not 30%

A VMS only works if hiring managers actually use it. Fill is built self-serve from day one — they choose to use Fill, they don’t have to be forced.

EU residency & BankID
EU-hosted by default
BankID identity
GDPR & EU AI Act aligned
Nordic labour law ready

European-first by design

Built for European procurement reality. BankID identity, EU residency, GDPR and Nordic labour law — all native, not retrofitted.

What you’ll have your first week with Fill.

The deliverables Fill puts in your hands inside a month, without an outsourced program in between.

Built for adoption, not implementation.

Your questions answered

"Magnit is a global provider of a combined MSP and VMS for large contingent workforce programs, backed by analyst recognition. Fill is the AI procurement system for your consultant workforce: purpose-built for consultant and SOW spend, with AI agents doing the program work under your supervision, and a footprint designed for European enterprises."

Talk to Fredrik

Choosing and changing VMS,
questions answered.

When is it worth changing VMS at all?

Not as often as vendors suggest. If your current system is embedded in working finance and procurement processes and your hiring managers use it unprompted, the disruption is not worth it. The honest trigger for a change is when the people raising requests route around the system — because a VMS that is bypassed produces no data, and without data there are no savings to find.

What should you actually compare when evaluating a VMS?

Four things that are hard to reverse: whether an occasional user can complete a request unaided, where your data is hosted and who can access it, how integrations are owned and maintained, and what the total cost looks like as your spend grows rather than at signature. Feature checklists rarely separate vendors; these four do.

How long does a VMS implementation take?

The technical setup is rarely the constraint. Time goes into agreeing approval hierarchies and spend policy across procurement, HR and finance, re-papering supplier agreements if they are changing, and running in parallel until in-flight engagements close. Ask any vendor for the elapsed time to first live request, not the configuration time.

Does European data residency matter for a VMS?

It matters if your consultant records contain personal data of EU-based workers, which they almost always do. The questions worth asking are where data is stored at rest, which sub-processors touch it, whether support access crosses a border, and whether your content is used to train models. Fill is EU-native and does not train on customer data.

What happens to your historical consultant data when you switch?

Insist on a full export before you sign anything, not at the point of leaving. Active engagements, supplier records, rate history and closed assignments should all be extractable in an open format. Rate history in particular is the asset that makes future benchmarking possible — losing it resets your negotiating position to zero.

What makes Fill different?

Fill is an AI-native VMS built around agents that draft intake requests, run supplier RFPs, benchmark rates against your own history and reconcile invoices against timesheets — proposing each step for a human to approve rather than executing on its own. It is European by default, and it is software rather than a staffing agency, so it takes no recruiter commission.

Take procurement off the spreadsheets.

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Fill Technology AB — The AI procurement system for your consultant workforce