Blackbaud vs Bonterra (Oct 2026): Raiser’s Edge NXT AI and the Development Agent vs Bonterra Que in EveryAction and DonorDrive for nonprofits

What this comparison covers

This page is for a development director, executive director, or database manager choosing between Raiser’s Edge NXT and a Bonterra product, or wondering whether the other vendor’s AI is a reason to move. It is not legal, tax, or gift-acceptance advice; a named person owns every donor-facing message, gift record, ask amount, and funder submission.

Facts come from our Blackbaud AI review and Bonterra Que review, both written from vendor pages read on 22 October 2026: Blackbaud’s pricing page, Raiser’s Edge NXT page, and bbcon 2026 recap; Bonterra’s fundraising pricing page, Que launch post, and campaign walkthrough. We did not test either product. Revenue and time-saved figures on both sites are vendor or customer claims.

The two overlap on donor records and outreach but start from different places. Blackbaud starts from the gift officer and the donor record: who to call, what to say, which mid-level donors nobody is talking to. Bonterra starts from the campaign: who is in the segment, what the email and text say, which automation moves a one-time donor toward monthly giving. Other tools in today’s set fill gaps both leave: DonorSearch AI for outside screening, Givebutter AI and Fundraise Up AI for giving pages and forms.

Ground rules for either pilot: the major gifts officer checks every AI donor summary; the development director approves every agent outreach plan, segment, and draft; the database manager approves every data cleanup and every outside AI connection; the executive director decides which AI jobs justify a CRM. This comparison is not a ranking.

Major features (with how someone uses them)

Examples at a glance: each feature has a concrete example from a real job plus a short Try this you can run this week.

1. List the three AI jobs, then ask both vendors (primary)

What it is: Most teams comparing Raiser’s Edge NXT and Bonterra are really asking about three jobs: donor summaries before meetings, segments for campaigns, and outreach to donors nobody is assigned to. Both vendors are quote-only, and AI features sit on different plans: Blackbaud says pricing depends on size, users, modules, and support (pricing page); Bonterra lists each Que skill as “Included” or “Based on plan” (pricing page).

A demo shows each product’s best case on the vendor’s sample data. Written answers about plans and quotes are what you can hold a vendor to at renewal.

Concrete example (development director at a regional food bank) She writes three lines (donor summaries, segments, outreach) and sends both vendors the same questions: which plan includes each, what it costs, what is early access, and what changes at renewal. Blackbaud answers that the Data Health Agent is an early adopter program; Bonterra answers which Que skills come with the EveryAction plan she is quoted. The written grid, not the demo, goes to the executive director. Details: Blackbaud AI · Bonterra Que.

Try this

Primary workflow:

List the three AI jobs your team needs this year (donor summaries, segments, outreach). Have the development director ask both vendors which plan includes each and write the answers and quotes down before any demo counts.

2. Donor summaries and prospects: Chat for Blackbaud AI and Prospect Insights vs Que segments

What it is: Blackbaud says Chat for Blackbaud AI “drafts donor summaries and talking points in seconds,” and Prospect Insights “identifies and prioritizes your best major giving candidates” (Raiser’s Edge NXT page). Bonterra’s Que builds a list when you “describe who you want to reach in plain language,” using giving history, engagement, and predictive models (27 May 2026 walkthrough). One answers “who is this donor?”, the other “who belongs in this campaign?”. Full detail: Blackbaud AI · Bonterra Que.

A summary with a wrong gift date embarrasses a gift officer in the room. A segment that misses recent givers sends them a lapsed-donor appeal.

Concrete example (major gifts officer at a university advancement office) Before ten visits she asks Chat for Blackbaud AI for summaries and checks every gift amount and date against the gift records; one summary lists a pledge payment as a new gift. In a Bonterra trial her colleague asks Que for “donors who gave last year but not this year” and compares it with a saved search; Que’s list includes two donors who gave by check last week. Both fixes go in the pilot notes.

Try this

Check against records:

Run ten donor summaries in Raiser’s Edge NXT and one lapsed-donor segment in Que. Have the major gifts officer check every gift amount and date, and every name on the list, against your gift records before anyone uses them.

3. Outreach: the Development Agent vs Que drafts, texts, and automations

What it is: Blackbaud announced general availability of the Development Agent on 17 March 2026 for US Raiser’s Edge NXT customers, saying it works “autonomously, but with human oversight” to engage mid-tier and unassigned donors. Bonterra’s Que drafts emails with subject line, pre-header, body, and call to action, drafts text messages (Text Messaging skill), and builds welcome-series and one-time-to-monthly automations step by step (14 Oct 2026 help article). Detail: Blackbaud AI · Bonterra Que.

An agent that writes to donors on its own schedule needs tighter rules than a draft you send yourself. Write down which donors each tool may contact before turning it on.

Concrete example (development director at a mid-size animal welfare nonprofit) She limits the Development Agent pilot to 100 unassigned mid-level donors and reads every outreach plan before approval. In the Bonterra trial she has Que draft a three-email welcome series and reads each email and wait step before attaching it. Both pilots run four weeks before she decides anything.

Try this

Approve before it sends:

Pick 100 donors no one is assigned to. Have the development director read every outreach plan or draft either tool proposes for them and approve or reject each one before anything is sent.

4. Data quality: the Data Health Agent vs lists built on your data

What it is: At bbcon 2026 Blackbaud introduced a Data Health Agent that will “continuously monitor, clean and maintain trusted data with expert oversight,” with an early adopter program for US Raiser’s Edge NXT customers through the end of 2026 (bbcon recap, 6 Oct 2026). On the Bonterra pages we read we found no separate data-cleanup agent; Que builds segments and automations from the data you already have, so its output is only as clean as your records (Bonterra Que).

Any AI that reads duplicate or stale records repeats their mistakes. A cleanup agent that merges records needs a person who can undo a bad merge.

Concrete example (database manager at a children’s hospital foundation) She joins the Data Health Agent early adopter program on a copy of 2,000 records and reviews every proposed merge; three would have joined spouses who give separately. On the Bonterra side she runs a duplicate report before any Que segment, because the segment is only as clean as the file.

Try this

Test on a copy:

Before either pilot, pull 500 records with known duplicates. Have the database manager review every merge or list the AI proposes and write down each mistake before any change touches live records.

5. Events and grants: Que in DonorDrive and Network for Good vs Blackbaud’s Strategy Assistant

What it is: On 29 July 2026 Bonterra said Que is “live for all DonorDrive customers with no setup required,” coaching peer-to-peer event teams and flagging participants at risk of not fundraising (DonorDrive post); its pricing page also lists a Que grant skill on Network for Good that analyzes fit and writes a first draft. Blackbaud’s Raiser’s Edge NXT AI pages focus on donors and gift officers; at bbcon it announced a Strategy Assistant with fundraising benchmarks and recommendations, and Lantern, a fundraising language model planned for 2027 (bbcon recap).

If peer-to-peer events or small grants are a large share of your revenue, that tilts the comparison more than any donor summary.

Concrete example (events manager at a cancer research nonprofit) She asks Que in DonorDrive which walk participants are behind last year’s pace and reads each suggested nudge before it goes to a team captain; two captains had offline gifts not yet entered. Her development director notes that Raiser’s Edge NXT holds major donors well, and that the events team would still need its own tool.

Try this

Match the job to the tool:

List your revenue by source for last year (events, major gifts, grants, appeals). Have the development director mark which tool covers each source before either quote is compared.

6. Outside AI tools, and when not to switch CRMs

What it is: Blackbaud announced a Microsoft 365 Copilot agent on 10 August 2026 and offers a Claude connector for Claude Team and Enterprise plans, so staff can ask about donors from those tools. Que works inside each Bonterra product. Moving donor records between CRMs touches gift history, recurring gifts, integrations, and staff habits; both vendors’ newest agents are weeks or months old.

Switching CRMs for one AI feature rarely pays back in the first year. Revisit at renewal, with written answers on which AI jobs each plan covers.

Concrete example (executive director at a 25-person community health nonprofit) Her board asks whether to leave Raiser’s Edge NXT for Bonterra because of Que. She has the database manager list what a move would touch (gift history, recurring gifts, 14 integrations, staff training) and asks both vendors for written AI plan answers. The decision moves to the renewal date, with the Copilot connector pilot running in the meantime.

Try this

Count the switching cost first:

Have the database manager list every system, integration, and recurring gift a CRM move would touch. Have the executive director weigh that list against the AI jobs before any switch is discussed.

Pricing context (October 2026)

Blackbaud prints no list prices. Its pricing page (checked 22 Oct 2026) says pricing is customized by organization size, users, modules, and support level, and you request a quote. We found no separate published price for the Development Agent, the Data Health Agent early adopter program, or Chat for Blackbaud AI. The Copilot agent needs Microsoft 365 Copilot licenses (billed by Microsoft); the Claude connector needs a Claude Team or Enterprise plan (billed by Anthropic). More in our Blackbaud AI review.

Bonterra prints no list prices either. Its fundraising and engagement pricing page (checked 22 Oct 2026) says pricing depends on product, organization size, and features, and lists each Que skill as “Included” or “Based on plan.” Ask whether text messaging, payment processing, and any Que skill are priced separately. More in our Bonterra Que review.

Both are quote-only. Get both quotes in writing for the same record count and the same three AI jobs, and ask what changes at renewal.

Uncertainty: We did not test either product. Facts come from Blackbaud and Bonterra product, pricing, newsroom, blog, and help pages as read on 22 Oct 2026 and can change. The Development Agent is generally available for US Raiser’s Edge NXT; the Data Health Agent is early access through 2026; which Que skills you get depends on product and plan.

When it’s useful (honest take)

Useful when you are choosing a donor CRM or approaching renewal, your team can name the three AI jobs it needs, and a development director will check every AI summary, segment, and draft in a side-by-side pilot.

Less useful when you are a small team that wants printed prices (Bloomerang AI, Neon One AI, or Givebutter AI), you mainly need likelihood lists or outside screening (Dataro AI or DonorSearch AI), or you only want better giving forms (Fundraise Up AI).

Related options (educational)

FAQ

What is the main difference between Blackbaud and Bonterra AI?

Blackbaud puts AI in Raiser’s Edge NXT around the donor record and gift officer: summaries, Prospect Insights, the Development Agent, and connectors for Copilot and Claude. Bonterra’s Que works across EveryAction, DonorDrive, and Network for Good around campaigns: segments, plans, drafts, automations, and event coaching. This page is not a ranking.

Which is cheaper in October 2026?

Neither prints prices. Blackbaud quotes by size, users, modules, and support; Bonterra quotes by product, size, and features, with Que skills included or based on plan. Compare written quotes for the same record count and the same AI jobs.

Is the AI included in the price?

Blackbaud publishes no separate price for its AI features; ask what your quote includes. Bonterra lists each Que skill as Included or Based on plan. Copilot and Claude licenses for Blackbaud’s connectors are billed by Microsoft and Anthropic.

Should we switch donor CRMs for the AI?

Usually not mid-year. A move touches gift history, recurring gifts, integrations, and staff habits, and both vendors’ agents are new. Revisit at renewal with written answers on which AI jobs each plan covers.

Who approves AI output in a side-by-side pilot?

The major gifts officer for every donor summary, the development director for every outreach plan, segment, and draft, the database manager for every data cleanup and outside AI connection, and the executive director for the CRM decision.

Optional next step (if seats overlap)

If you pay for a donor CRM with AI, a separate screening tool, and general chat seats that all draft the same donor emails, that overlap is worth mapping. Map the overlap with the $19 AI toolkit audit or the $9 AI toolkit spreadsheet. Email Audit $19 or Toolkit spreadsheet $9.

Checkout is live via Stripe. After you pay, we email delivery (spreadsheet) or intake next steps (audit).

Related: DonorSearch AI · Givebutter AI · Fundraise Up AI · Blackbaud AI · Bonterra Que · Bloomerang AI · Virtuous AI · Neon One AI · Dataro AI · Claude · ChatGPT · Microsoft 365 Copilot · Three checks before another AI seat · ops hub