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Custom AI Engagement · Forward-Deployed

Bring AI into your
grant operation.

Hire our team to put AI to work inside your own grant process. We embed with your people, design the capability around how you actually operate, and build it—AI and grant-domain expertise, in the room with you.

Led by Chris Grecsek— founder of Collaborative Standards and early team at AngelPoints (both acquired by Blackbaud), former Director of IT at The San Francisco Foundation, and founder of Centered Networks (2004–present).

Why a custom build

You've decided AI belongs in your grant work. Generic tools won't get you there.

Off-the-shelf AI doesn't know your funders, your programs, or the way your team writes. It produces output your reviewers have to rescue, and it ignores the relationships and rigor that actually win grants.

Building it yourself means hiring for two scarce skill sets at once—people who understand AI and people who understand grants—and then waiting months to find out whether they can work together.

We are both, already. We bring AutoGrant's engine and our grant-domain experience, build the capability around how your team works, and hand it over.

How an engagement runs

Forward-deployed, from first conversation to live capability.

We work alongside your team in four phases. The shape flexes to your operation; the principle does not—we build around you, not the other way around.

Phase 1

Embed and learn

We start by understanding how your team actually works—your funders, your data, your review process, your voice, and where the real bottlenecks are. Not a kickoff deck. A working understanding of your grant operation.

Phase 2

Design the capability

Together we scope exactly what AI should do inside your process and, just as important, what it shouldn't. You get a written build charter: the workflows, the integrations, and the guardrails, agreed before we build anything.

Phase 3

Build it around you

We tune AutoGrant's agents to your funder portfolio and your workflow, wire in the integrations you need, and shape the system to your organization's voice and rigor—rather than bending your team to fit a generic tool.

Phase 4

Deploy and enable

We put the capability into your team's hands, train the people who'll use it, and stay close while it goes live. You leave with a working AI grant capability your team owns and understands.

What you walk away with

A working AI grant capability your team owns.

A capability designed for your portfolio

AutoGrant's agents tuned to the funders you actually pursue and the way your team actually writes.

Your workflow, not a template

The system shaped to your review process and sign-off points, integrated with the tools you already run.

A voice profile that sounds like you

Narrative writing calibrated to your organization's voice and the rigor each funder expects.

Funder intelligence and a ranked pipeline

Opportunities scored to your mission and capacity, including aligned funders who never post an RFP.

Team enablement

Training and documentation so the capability lives with your people, not just with us.

A trust boundary in writing

Human sign-off before any submission, plus the four written AutoGrant guarantees, baked into the engagement.

How we protect the work

Four guarantees, in writing.

Every engagement is governed by the same commitments that protect your reputation with the funders you depend on.

  • The Human-Reviewed Promise. Every AI-drafted artifact is reviewed by a human before it reaches a decision-maker. We never hand off raw AI output.
  • The No-Hallucination Guarantee. If any AI-generated fact or citation is incorrect, we fix it free. Accuracy is on us, not on your team to catch.
  • The Voice-Match Guarantee. If the voice profile doesn't sound like your organization, we rebuild it until it does.
  • The Funder-Relationship Guarantee. If a funder ever raises concerns about AI use, we provide written documentation of the human-in-the-loop process behind every application.

The HC3 trust boundary is permanent. Nothing is ever submitted without your explicit sign-off, on any setting. It is not configurable.

Why us

Twenty years in this space, with the track record to back it.

Chris Grecsek has spent his career building technology for organizations that depend on grants. Two companies he helped start early were both ultimately acquired by Blackbaud, and he's spent the last two decades leading Centered Networks—so this is a career commitment, not a newcomer's bet on AI.

  • Founded Collaborative StandardsGrant management software for foundations—ultimately acquired by Blackbaud, the backbone of nonprofit and foundation technology.
  • Early team at AngelPointsAlso ultimately acquired by Blackbaud. Two ventures built early, one industry-defining acquirer.
  • Director of IT, The San Francisco FoundationOperating experience from inside a major community foundation, on the funder's side of the table.
  • Founder of Centered Networks (2004–present)Twenty years as a Microsoft Solutions Partner serving nonprofits, foundations, and rural hospitals—proof this is a career, not a passing bet on AI.

AutoGrant is its own company, separate from Centered Networks. The instinct behind both is the same: AI in high-stakes work requires governance, human oversight, and respect for the relationships that actually matter.

Questions

Questions you should be asking.

Qualifying the fit

Honest about who this is and isn't for.

Best fit
  • Organizations investing in AI for grants

    Teams that have decided AI belongs in their grant process and want it done right, not bolted on from a generic tool.

  • Larger grant operations

    Foundations, research institutions, health systems, government offices, and companies with enough grant volume to justify a real capability.

  • Teams that want to own the result

    You want the capability to live with your people and your stack, with experts who build it alongside you and then hand it over.

  • Leaders who value judgment over hype

    You want AI that respects funder relationships and keeps humans in control of every consequential decision.

Not a fit
  • Teams looking for cheap self-serve software

    If you want a low-cost tool to log into, start with the Success Fee platform instead. This is a build engagement, not a subscription.

  • Organizations without a real grant function yet

    We bring AI into an existing process. If you're still standing up your grant program, that comes first.

  • Anyone expecting a guaranteed win

    We build the capability that raises your odds. We don't promise outcomes, and anyone who does is misleading you.

Let's scope what you want to build.

Tell us about your grant operation and what you're trying to do with AI. We'll be straight about whether a custom engagement is the right move—or whether the Success Fee platform gets you there faster.