Why Digby

Everyone sells a digital technician. Nobody shows you the score.

The MSP automation market splits into four camps. Each solves a real problem and leaves the same gap: a way to learn how your desk works, prove it is right, and earn its way into your tools one category at a time. That gap is the product.

camp 1

Workflow builders

Rewst, Bumblebee. Powerful and deterministic. You draw the flow, you write the Jinja, you own the orphaned workflows. They need a dedicated automation owner and cannot read a messy free-text ticket on their own.

camp 2

Packaged packs

Pia. Prebuilt automations inside the PSA: triage, forms with identity verification, auto time logging. Runs someone else's process; custom work is PowerShell; implementations run weeks and often need a near-full-time admin.

camp 3

AI technicians

NeoAgent, Rallied, Thread, Mizo. Agents in the queue that execute. Approval models vary from tiers to "human review". They ask you to trust a resolution rate measured somewhere else, and most bill per ticket, per credit, or per token.

camp 4

PSA-native AI

ConnectWise, Kaseya, HaloPSA. Copilots and agents bundled into the platform. Mostly suggest-only or runbook-encoded, tier-gated, and locked to that one PSA. Good if you never plan to switch. Learning comes from the vendor's corpus, not your desk.

Side by side

Where Digby stands.

A fair reading of each camp's public material as of September 2026. Every vendor is moving fast, so treat the columns as positions, not permanent facts.

DigbyAI teammate, overlay Workflow buildersRewst Packaged packsPia AI techniciansNeoAgent · Rallied · Thread PSA-native AIConnectWise · Kaseya · Halo
Learns how your desk closes ticketsMemory per client, MSP-wide rules, runbooks drafted from your resolutions, all correctable in plain EnglishYou encode the process yourselfConfiguration of the vendor's packsEarly "agent memory" in one product; natural-language workflows in anotherTrained on the vendor's corpus
Shadow mode with a scored track recordShadow decision on every ticket, scored on close, calibrated per client and categoryNot applicableNoShadow pilots offered; no per-category scoring publishedConfidence thresholds on triage only
Approval modelEvery change to a machine or an account is a card with a measured preview; ticket filing and internal notes are switches you set. Autonomy is a dial per client and category, earned on evidenceWhatever you build into the flowPack rules and identity verificationPropose / approve / autonomous per workflow, or tiersHuman review, or runbook-encoded
Diagnoses before it acts34 read-only scripts chosen by symptoms, peer comparison, internet-facing checks, evidence cited line by lineRuns the flow you builtFixed pack stepsVaries; mostly identity and known fixesSummaries and suggestions
Narrated audit trailTimestamped note per action with script, device, preview numbers, approver, verify result; time entry postedFlow logsTicket notesTicket notes, variesAI-created flags on records
Runs inside your existing stackBrowser badge on the PSA page; a connector per platform (AlgaPSA, HaloPSA, Level, NinjaOne, Hudu, Microsoft 365, Huntress), each in its own process, every read searchable and scoped to the client. Any stack, no rip-and-replace80+ integrations, trigger-basedInside CW, Autotask, HaloIn the queue; some force their own inboxOne PSA only
Setup effortConnect tools, one RMM automation, learning mode in an afternoon, then shadowWeeks per workflow, dedicated owner4 to 8 week implementationsDays to weeks; some need field engineersBundled, but tier-gated
Pricing modelFlat, per technician, model usage included, BYO key optionalQuote-only platform feeQuote-onlyPer ticket, per credit, or per customerBundled; per ticket and per token in places

● does it · ◐ partly, or depends on what you build · ○ not a goal of that product. Vendor positions summarized from their public features, pricing pages and documentation; nothing here is a claim about quality.

What makes us different

Three bets nobody else is making.

The connectors are commodities. Every PSA and RMM is shipping an MCP server. The governed layer above them, where an agent learns, proves, and earns, is the part that is hard to build and harder to copy.

Start in shadow, keep score

Digby records what he would have done on every ticket and scores it when the ticket closes. You see match rates per client and per category before he touches anything. Nobody else publishes that number about your own desk.

The trust ladder

Learn from you, not from a corpus

Memory with a source on every fact, corrections that outrank anything learned, runbooks drafted from your own closed tickets, and a ledger of every behavior change with a name on it. A track record cannot be copied by a competitor.

Memory and corrections

The teammate that shows its work

Every action is narrated to the ticket with the script, the device, the numbers from the preview, the approver, and the verify result. Insurers, auditors, and the technician on the next shift all get the same story.

See the cards
Honest about the edges

What Digby is not.

Early access

Run him next to what you have.

Shadow mode sits beside any of these tools without conflict. Two weeks, a scored report, your call.

Get early access