This is a real recorded run: an agent logging into a portal, passing two-factor authentication, and pulling a live status. No mock-ups, no stock footage.
No setup. No agent-wrangling. You tell us the outcome: we make it happen.
We build AI workers that do the repetitive parts of your business. On your systems. Managed by us. You approve by text.
You approve every action. No locked-in platforms. Real recorded runs. See for yourself.
Most agent platforms hand you a fleet and a dashboard: connect the tools, write the prompts, set the guardrails, watch the runs. That works well if you are technical and have time to operate it. Most owners just want the work done.
We are the difference between owning a platform and getting a result. You tell us the outcome: "stop missing calls," "chase these invoices," "watch this portal." We build, run, and keep the worker that delivers it. You never touch a model picker, an OAuth screen, or an autonomy setting.
Software that operates a computer: opening a browser, logging into your systems, passing two-factor authentication, and completing the repetitive tasks your team does by hand. We build, run, and manage it. You approve by text.
Seats were the right first move, and every business should start there. But seats have a ceiling: the person's job doesn't change shape. We rebuild the repetitive process so the work happens without someone clicking through it — the worker signs in, does the task, and hands you the result to approve.
Your worker is live within 24 hours. Your first workflow is running within 7 days. After that we add one new capability every week.
Prepackaged apps start at $199 per month. Pricing for a custom workflow is set after a short conversation about your business.
Every small business owner can see what's coming. AI is going to change how work gets done, and you already know the free chatbot isn't the answer. It doesn't log into your systems, follow your procedures, or take anything off your plate.
Here's the thing about 1998: everyone knew the internet was coming. Almost nobody knew what to do with it. The businesses that figured it out didn't get lucky. They got someone who could actually do the work.
That's us. We're the "use it" part of the story: WebJazz gets you found, DigitalPipe runs your operations, and Digital Keel puts AI to work in your business, built around your workflows, run for you, and answerable to you.
Most businesses have already started "doing AI." They signed up, bought seats, handed everyone a license, and told themselves the work would change.
That first move was correct. Every business should start there. But it has a ceiling: seats give a person a better tool, and the person's job doesn't change shape. The same person still opens the same screens, re-keys the same data, copies the same numbers. The work moves at the same speed because the work itself never changed.
What we build is different. We don't sell another seat. We rebuild the repetitive part of the process so the work happens without a person clicking through it: the worker signs in, passes two-factor, does the task, and hands the result to you for approval. The leverage lands on the whole workflow, not on one person's keyboard.
To be clear about what we're claiming: we are not saying the seats were wrong. We're saying seats have a ceiling, and what we sell starts on the other side of it.
If your system has an API, integration is plumbing, and we use it. APIs are valuable, and when one exists, that's the fastest, most reliable path — we connect to it directly.
The real reason most AI projects stall in a small business is the rest of the stack: systems that were never built to be connected. Your insurance portal, your carrier portals, your legacy database, your vendor's locked-in platform. Portal-only, no API, and no roadmap to one.
Most AI vendors have exactly one way in: they need an API to exist before they can do anything. So they quote you an integration project: months of work, big money, and it gets deferred because it's never the hair-on-fire problem this quarter.
We take the modern path that handles both. With an API, we connect through it. Without one, we put a worker on the browser: it logs into the portal, passes two-factor, and pulls the data. Either way the data starts moving when we start working — we're not blocked on an integration that may never come.
We're not claiming nobody else can do this. Our position is specific: we own the infrastructure the worker runs on, we package the procedures as reusable SOPs, and we build per-portal adapters for every system we learn. That combination is what lets us work on portal-locked systems, and it's our moat, not a claim of exclusivity.
Prepackaged workers start at $199 per month — built on the computer-use category of automation that OpenAI and Anthropic describe and ship. We put that capability on the portals and systems a small business already uses.
Our portal-status worker signs in and passes two-factor authentication (TOTP, RFC 6238) to pull a live status — recorded on camera, twice, in our own test runs.
The work
Honest before/after framing. We show you the before, the after, and where we have evidence we show you the actual recorded run.
Set it once. It runs 24/7. Nothing cools off on your watch.
Before
Someone on your team opens every screen in the old system, exports, cleans up the mess, and re-keys it into the new one. Days of tedious screen-by-screen work, and it blocks on whatever that one person is doing that week.
After
Your worker does the screen-by-screen work, and you approve the final import. No exports-to-spreadsheet shuffle. Your data ends up where it belongs, and your team ends up doing their actual job.
Before
Staff log into each carrier portal one at a time, copy the numbers, and assemble the comparison in a spreadsheet. Every renewal season, again and again.
After
Your worker logs in, gathers the numbers, and hands you a comparison to approve before anything goes out. The repetitious part stops being a weekly staff chore.
Before
A person logs into the portal, passes two-factor authentication, and checks the status, for every account, by hand.
After
Your worker does it. Sign in, two-factor, status pulled. This is the one we've already recorded: an agent logging into a portal, passing TOTP two-factor, and pulling the exact status on camera, twice, in our own test runs. Watch it in the hero video. That is the real run, not a mock-up.
The stack we operate
How Digital Keel works, followed by the industry benchmarks we build value-proof pitches from. Every number below is real: either a specific fact about our service or a published benchmark for the problem — never an invented customer result.
Benchmarks above are modeled from published industry sources. We measure a 14-day baseline before a worker goes live and replace these numbers with your own results after 60-90 days of instrumentation — attribution windows agreed in writing up front.
Within 24 hours you're texting it like a team member. It has its own inbox and phone number, it knows your business basics, and it's already on your systems.
We build it from your procedures, run it supervised, and only hand it over once it's accurate. You get a one-page proof: what it did, what it replaced, what's next.
One new capability every week, a weekly working session with a human who knows your account, and every action still needs your approval before anything irreversible.
The worker loop
This is the actual process, end to end: your systems stay as they are, the worker operates the browser, and nothing irreversible happens without you.
Straight answers to the questions every owner asks before trusting a business with this:
If a capability isn't built yet, we say so. We'd rather lose the deal on honesty than win it on a claim we can't show.
Named humans who own your account. A methodology you can read. Real before/after, from real work we've done. If we can't show it, we'll tell you we can't, and we'll tell you what would prove it.
That's the whole model: we build it, you approve it.
Start here
Three real apps, built and run by us. Pick one, and you're live — not "in a pilot." Every app comes with a scoping call first so we build yours to fit, not a template.
$299/mo · $750 setup
Value proof: missed-call → booking conversion typically rises from 2-5% to a modeled 10-18% with a same-minute response. Recovery example: 120 missed calls at a $250 ticket ≈ $3,500/mo.
Your worker follows up on missed calls the way your best receptionist would, turning "I called and no one answered" into a booked slot.
$199/mo · $500 setup
Value proof: 15-25% DSO reduction; a $1.2M/yr business going 45 → 36 days releases ≈ $29,600 once, and cutting write-offs 3% → 2% adds ≈ $12,000/yr recurring.
An escalation ladder that never invents a balance. It chases real invoices with the right tone at the right cadence, and you approve anything that goes out.
$499/mo · $1,500 setup
Value proof: filing 90% vs. a typical 40% of eligible disputes roughly doubles recovered dollars. Best fit: merchants processing over $250k/mo.
Files chargeback disputes through the processor portal with a compliance review and your written authorization first. Zero fabricated evidence, by design.
Every engagement starts with a short scoping conversation — no commitment, and we'll tell you plainly if a prepackaged app isn't the right fit.
Book a meetingThese worked examples are built from published industry benchmarks for each problem, not from our own customer data yet. We lead with the conservative case for credibility, and we replace every number with your measured result after 60-90 days.
400 calls per month, 30% missed = 120 missed calls. Recovering 12% = about 14 bookings per month, 3-4 per week. At a $250 average ticket that is about $3,500 per month against the $299 price — roughly 11x. The mechanism is speed, not persuasion: responding within minutes instead of hours changes whether a lead is even reachable. The floor claim: 8% recovery at a $150 ticket on 200 calls is about $720 per month, still over 2x.
Collectability decays with age: roughly 70 cents on the dollar at 90 days, 50% at 6 months, 25% at a year. A $1.2M per year business going 45 days to 36 days DSO releases about $29,600 of working capital, once. Cutting write-offs from 3% to 2% adds about $12,000 per year, recurring — over 5x the $199. Labor value alone often clears the price: 4-8 staff hours per week on collections falls to 1-2.
Most merchants lose more to disputes they never file than to disputes they file and lose. Filing 90% of eligible disputes instead of a typical 40% roughly doubles recovered dollars even at the same win rate. $80k per month in processing at a 0.6% chargeback rate is about $480 per month disputed, roughly $5,760 per year. Above $500k per month in processing volume, the same math yields roughly $11k per year in incremental recovery. The tail-risk argument is bigger: Visa VDMP and Mastercard ECM monitoring trigger near a 0.9-1% ratio, and staying under the line protects your ability to accept cards at all. That is insurance, not a recovery line — which is why we qualify for merchants processing over $250k per month.
A 14-day baseline before the worker goes live, a 15-20% holdout of missed calls left unworked for the first month, a booking counted if it lands within 14 days of a rescued call, and payment counted within 14 days of a chase. Attribution windows in writing before launch. The rate at which clients approve drafts unchanged is one of the things that tells us when an approval gate can be relaxed — we'll publish that number once we've measured it.
Follow-up within 5 minutes versus 30 minutes changes a lead's qualification odds by roughly an order of magnitude — that response-time research is the mechanism we sell, and the worked examples above are modeled from published benchmarks, not our customer results yet.