A grant-winning engine, built in your cloud and run by your people — in 90 days.
A forward-deployed team from AutoGrant embeds with your institution and stands up GrantOS — a coordinated team of AI agents mapped to your entire grant lifecycle — inside your own governed environment. Your staff commands it. The AI Judge scores real fit before a word is written. Humans approve everything.
Built for: research universities and academic medical centers, health systems on Epic-on-Azure, community foundations, national nonprofits, and tribal enterprises — institutions with the funding, the cloud maturity, and an internal owner to run it.
This is the premium engagement. Make sure it’s the right one.
GrantOS Forward-Deployed is built for institutions that meet three conditions:
You can fund a build.
This is a fixed-fee engagement in the five-to-six-figure range, not a pay-when-you-win plan.
You run a governed cloud environment.
GrantOS deploys into a modern, managed footprint — AutoGrant-hosted by default, or your own Microsoft Azure tenant if you need it.
You have a named internal owner.
Someone on your team will command the pipeline after we hand it off. We build the engine; your people run it.
If that’s not you yet — that’s fine. Smaller teams and lean development shops start on our Shared Success Plan: the full AutoGrant platform with no upfront cost, where you pay a board-approvable 5% service fee only on what you win.
See the Shared Success PlanYour development team is strong. Their time is the bottleneck.
Most institutions don’t have a grants problem — they have a focus problem. The opportunities are out there. But a lean development office can only pursue so many, and every hour spent on a grant you were never going to win is an hour stolen from one you could have.
The tools sold to fix this mostly make it worse. They hand you a longer list. More opportunities to triage, more deadlines to track, more false positives disguised as leads — and still no one to actually do the work. So the list sits in a tab, and your best people keep chasing whatever’s loudest instead of whatever’s winnable.
What you actually need isn’t more software to staff and learn. It’s capacity — a team that builds the operation for you, wired into your systems, that tells you which grants are worth your hours before anyone writes a word, and then hands your people an engine they own and run. That’s what GrantOS Forward-Deployed delivers.
Not a subscription. A capability your institution owns.
When the engagement ends, you don’t have a login you have to keep paying for. You have three things you’d otherwise have to build or hire:
Development capacity, on demand.
A senior AI-and-grants team that builds for you in one quarter — instead of the cost and delay of recruiting AI engineers and grant strategists separately and hoping they integrate.
A winnable-grant engine.
GrantOS: discovery, AI Judge fit-scoring, drafting in your organization’s voice, submission prep, and stewardship — wired into your environment and tuned to your mission.
Ownership of the instance and the data.
Your tuned GrantOS configuration and everything it produces is yours to keep and operate after we leave, run by a trained member of your own staff.
The shift: from an overworked development shop chasing a longer list, to an always-on, AI-assisted grants operation your own team commands — one that knows which opportunities are worth pursuing before the writing starts.
Three phases. A hard go/no-go gate between each.
You only expand on proven value. We never open by asking you for six figures on faith. The first step is a small, fixed-fee pilot that proves fit, produces real artifacts, and credits toward the build if you proceed.
Landscape Pilot
The entry point. The cheapest test that proves value.
2–4 weeks · fixed fee, from $7,500 · runs in an AutoGrant-hosted sandbox (no tenant access required to start)
What you get — all real artifacts, none dependent on an award:
- A completed organizational profile built with your team (mission, capacity, funding history, priorities).
- A mapped funding landscape: a ranked shortlist of 15–20 opportunities scored by the AI Judge on mission alignment, capacity fit, competitive position, and strategic value.
- 1–2 lifecycle agents stood up and demonstrated live — typically Discovery and AI-Judge scoring.
- One submission-ready draft application against a defined quality bar, carrying the human-review sign-off.
- A go/no-go build recommendation and a scoped plan for Phase 1.
The pilot fee credits against your Build. You see the work before you fund it.
→ Gate: you review the pilot artifacts and decide whether to proceed.
GrantOS Build
The forward-deployed team stands up your full engine.
~90 days · fixed project fee
What you get:
- The full GrantOS agent roster deployed across the lifecycle: Discover → Strategy (AI Judge) → Proposals (draft-in-your-voice) → Submissions → Stewardship & Reports.
- Your deployment target chosen with you — AutoGrant-hosted by default, or your own Azure tenant as the premium, opt-in path.
- A 12-month funding roadmap and a live operating pipeline of continuously ranked opportunities.
- A defined number of submission-ready applications meeting the agreed quality bar — named in your SOW, so scope is fixed.
- Voice tuning so every draft reads in your organization’s own voice.
- At least one trained internal owner who can run the pipeline after handoff.
- Human-in-the-loop controls wired into every stage — nothing submits without explicit human sign-off.
→ Gate: acceptance review against the quality bar → decision to move to Operate.
Operate & Steward
Ongoing support so the engine keeps compounding.
Monthly retainer · month-to-month or annual
What you get:
- Ongoing operation and tuning of GrantOS — new-opportunity scoring, agent updates, drafting support for live cycles.
- Managed hosting (AutoGrant-hosted) or maintenance of your client-tenant deployment (opt-in path).
- A quarterly funding-strategy review and roadmap refresh.
- Stewardship and post-award reporting support for anything awarded.
- Priority access to new GrantOS capabilities as they mature.
Know which grants you can win — before you write a word.
Most tools score how well a grant matches your keywords. The AI Judge scores whether you can actually win it. It simulates a funder’s review committee and rates each opportunity across four dimensions:
- Mission alignment — how closely the opportunity fits what you actually do.
- Capacity fit — whether you can realistically deliver what the funder expects.
- Competitive position — how you stack up against the field likely to apply.
- Strategic value — what winning this grant does for your broader funding position.
It’s not a black box. The Judge shows its reasoning, so your team can see why an opportunity scored the way it did and where a draft would lose before it’s submitted. That’s how your people’s hours go only to grants worth pursuing.
- Mission alignment92/100
The funder’s stated youth-STEM priority maps directly onto your core program and last three annual reports.
- Capacity fit74/100
You can deliver the scope; the funder’s quarterly reporting cadence will stretch a lean development office.
- Competitive position61/100
A strong local story, but a crowded field of larger applicants with prior awards from this funder.
- Strategic value88/100
A win here anchors the multi-year federal track your roadmap is building toward.
Sample verdict: Pursue — with a reporting-capacity plan attached. Figures shown are illustrative, not a real client result.
In your working session, we’ll run the AI Judge on a real opportunity you’re weighing — and walk you through exactly how it scored.
Permanent human control (HC3).
AI drafts in your voice and flags weaknesses. A human reviews and signs off on everything. Nothing is ever submitted without explicit human approval — and that boundary is permanent, wired into every stage of GrantOS, not a toggle someone can switch off.
As funders grow wary of machine-generated applications, visible human control isn’t a limitation — it’s a feature. The AI Judge exists to raise quality by focusing your team; the human sign-off guarantees a person always owns what goes out under your institution’s name.
AutoGrant is a signatory to the Fundraising.AI Framework for Responsible and Beneficial AI. Human control isn’t our marketing — it’s a standard we’ve put our name to. Read the Framework →
AutoGrant-hosted by default. Your own Azure tenant when you need it.
Deployment is a choice we make with you, not a requirement we impose.
| AutoGrant-hosted (default) | Client-owned Azure tenant (premium, opt-in) | |
|---|---|---|
| Best for | Most institutions; fastest path to value | Sovereignty and security-sensitive buyers — tribal, research, health, government |
| To get started | No tenant access, no security review required | Deploys into your governed Microsoft Azure environment |
| Speed to stand up | Faster | Scoped to your access and review gates |
| Your data | Managed in a dedicated instance we run for you | Stays in your own tenant |
Both paths are backed by the Centered Networks Microsoft partnership — the delivery backbone that lets us stand GrantOS up inside a governed Azure environment when your mandate requires it.
Azure-first by design. If deploying agents into your tenant sounds like an IT burden you can’t take on right now — you don’t have to. AutoGrant-hosted is the fast path, and the opt-in Azure route is there for the day you need it.
Your instance. Your data. A trained owner.
We write this into the SOW up front, so there are no surprises later:
- You own your tuned GrantOS instance configuration and all of your data and outputs — everything the engine produces is yours to keep and operate.
- You keep a trained internal owner on your staff who can run the pipeline after handoff.
- AutoGrant retains the reusable GrantOS core — the underlying agent library, prompts, and methodology — which you use under license.
That split is standard, stated plainly, and answerable to your procurement team on the first call.
The GrantOS Delivery Guarantee
We guarantee the work, not the win. If, by the end of your GrantOS Build, we have not delivered the specific artifacts named in your SOW — your fit-scored opportunity pipeline, your 12-month roadmap, your tuned agent roster, and your agreed number of submission-ready applications meeting the defined quality bar — we keep working at no additional fee until we do, or we refund the milestone hold-back.
We do not guarantee that any specific grant will be awarded, a win rate, or a funding amount. Anyone who guarantees that is either mistaken or about to put an institution in a difficult position with a funder. We don’t. What we can guarantee is anchored to work we fully control:
- The paid pilot is the first risk-reversal — a small, fixed, credited test before any large commitment.
- The Build is bound to controllable process outputs — applications at a quality bar, a working pipeline — not to awards no one can promise.
- An optional milestone hold-back gives your CFO a concrete lever: a portion of the Build fee held until the quality-bar deliverables are accepted.
A team that has been inside grants tech for two decades.
GrantOS is built by Chris Grecsek, founder of Centered Networks, who has spent two decades building technology for foundations and nonprofits — including grants-management software he built and sold to Blackbaud. This isn’t a first rodeo in the grants world. For a company still early enough that it has no completed wins to point to, that track record — plus a working system, permanent human control, and the Centered Networks Microsoft partnership as the Azure delivery backbone — is the proof we lead with. Not testimonials we haven’t earned yet.
Where we are, plainly: GrantOS Forward-Deployed is a new, premium engagement. We sell the team, the system, and the process — never an outcome we can’t prove. The paid pilot exists precisely so you can judge the work before you fund the build.
A premium engagement, priced in phases — with a small first step.
You don’t commit to the full engagement to start. You commit to a pilot.
| Phase | What it is | Investment |
|---|---|---|
| Landscape Pilot | Ranked pipeline + one submission-ready draft, in 2–4 weeks | Fixed fee, from $7,500 — credits to your Build |
| GrantOS Build | Your full engine, stood up in ~90 days | Fixed project fee — scoped per engagement |
| Operate & Steward | Ongoing operation, tuning, and stewardship | Monthly retainer — scoped per engagement |
Optional, never required: if you’d rather share risk, you can add a success-share component — a reduced Build fee plus a fee only on grants the engine helps you win, paid from unrestricted operating funds, never from the grant, and board-approvable. Not offered on federal contracts, which are fixed-fee only, by design.
Why premium and not cheap: you’re not renting a feature — you’re acquiring a durable, owned grant engine in your own cloud, built by an embedded team. The honest comparison isn’t a monthly tool subscription. It’s the fully-loaded cost and delay of hiring a senior AI-and-grants team versus a fixed-fee, 90-day build. A single major grant your team wins because GrantOS focused it on the right opportunities can dwarf the entire fee. We never promise that win — the AI Judge exists to raise its odds. Final figures are scoped to your engagement on the call.
Questions your procurement team will ask.
See it work on one of your real opportunities.
Book a working session with our team. We’ll run the AI Judge on a grant you’re actually weighing, walk you through how it scored, and — if it’s a fit — scope a paid Landscape Pilot that puts a ranked pipeline and a submission-ready draft in your hands in a few weeks. No pitch deck. The work, on your real funding landscape.
Smaller team? The Shared Success Plan is your path — pay only on what you win. See the Shared Success Plan →