Customer messages wait too long
Leads, owner questions, vendor replies, tenant requests, and follow-ups get buried when nobody owns the next touch.
For businesses where customer emails, quote requests, invoices, PDFs, spreadsheets, and CRM notes pile up in the office
Send us 10 real examples. We build one reviewed AI worker that sorts the queue, drafts replies, checks documents, updates records, and flags what a person needs to approve.
Book a Workflow ReviewReads customer messages, forms, attachments, and notes, pulls out the important details, drafts the next reply, and flags what is missing.
DOCUMENT CHECKING WORKERCompares bills, contracts, POs, rate sheets, and source documents, then prepares the exception list or dispute draft for review.
QUOTE FOLLOW-UP WORKERFinds stale quotes, old customers, and dormant leads, drafts specific follow-ups, watches replies, updates the record, and hands warm conversations to the team.
REAL ESTATE OPS WORKERTurns lead details, owner questions, showing notes, transaction dates, and status updates into clear follow-ups and review lists.
PACKET ASSEMBLY WORKERChecks what documents are present, what is missing, who needs to reply, and prepares a clean packet before a person approves the decision.
CRM UPDATE WORKERTurns emails, notes, status changes, and approvals into clean records and flags unclear details before the system falls behind.
We start with back-office work that is already digital. One inbox, folder, spreadsheet, CRM queue, or document flow becomes one reviewed AI worker your team can judge.
Leads, owner questions, vendor replies, tenant requests, and follow-ups get buried when nobody owns the next touch.
Invoices, freight bills, contracts, PDFs, rate sheets, and forms still need reading before a person can make the decision.
Emails, spreadsheets, CRMs, portals, and old software all hold pieces of the same job, so the next step depends on memory.
The first goal is not to automate your company. It is to clear one repeated digital queue and prove the result.
Bring 10 to 20 emails, PDFs, invoices, quotes, forms, CRM records, or spreadsheets from the work your team keeps handling by hand.
We pick one repeated queue with a clear owner and a result you can judge: faster replies, fewer missed follow-ups, cleaner packets, or caught costs.
We connect only approved inputs, define what the worker can do, define where it must stop, and test against the real samples before launch.
We monitor outputs, fix broken handoffs, tune the rules and prompts, and adjust as your real work changes.
Pick one job from real examples
A warehouse worker takes a photo of the pallet and a photo of the packing list. The worker isolates visible cartons and labels, reads SKU and quantity, compares against the list, marks matches, missing items, extras, and unclear reads, then hands back a review-ready result.
After a quote goes out, the team moves to the next request. A worker can track open estimates, prepare follow-ups, stop on replies, and hand warm conversations to the team.
Vendor, freight, and service bills often get paid without line-by-line review. A worker can compare the bill, prepare the dispute, track the reply, and bring back the credit, result, or exception.
Start by showing real samples. If the queue is worth fixing, we scope one worker around one workflow and keep a person approving the important parts.
$750+
No monthly
Review 10 to 20 real samples, map the current queue, identify what AI can safely handle, and define the first worker scope.
$5k+
$1k+/mo
One reviewed worker for a specific queue: inbox intake, document checking, quote follow-up, packet assembly, or CRM updates.
$10k+
$2k+/mo
A managed workflow with monitoring, tuning, output review, and support after the first worker is running inside the business.
The useful outcome is not a demo. It is a cleaner queue: messages sorted, documents checked, replies drafted, records updated, and exceptions routed to a person.
You do not manage tokens, prompts, models, or infrastructure. We handle the worker. New workers, major integrations, ads, and new workflow scope are quoted separately.
A chatbot waits for questions. A dashboard waits for someone to inspect it. Most office backlog needs someone to read the work and prepare the next step.
A managed AI worker clears one queue: it reads, sorts, checks, drafts, updates, and stops when a person needs to decide.
AI-native competitors will not win with one magic tool. They will win by fixing dozens of small jobs. Existing businesses can start the same way: one repeated job, one measurable result, then keep adding.
Book a Workflow ReviewUseful for simple Q&A, but it usually does not own an invoice, lead, packet, quote, or CRM update until the issue is closed.
Fixed steps are great when the work is always the same. Inboxes, PDFs, customer replies, and old records are rarely that clean.
It reads the email, PDF, invoice, quote, form, or CRM note, prepares the next move, logs what happened, and brings back the result or exception.
Anything involving money, risk, customer trust, or uncertainty goes to a person for review.
Good for answering questions and fixed triggers: when this happens, do that.
Better for repeated digital work that needs reading, checking, drafting, chasing, logging, handoff, and support after launch.
Straight answers for owners who do not want AI theater.
A chatbot answers questions. Workflow automation runs fixed steps. If the task is the same every time, we automate it. If it needs reading, checking, judgment, chasing, logging, and handoff, we install a managed AI worker. The worker keeps the issue moving and brings your team the result or the exception.
A managed AI worker has one job. It reads real work, drafts the next move, checks rules, logs what happened, follows up when allowed, and stops when a person needs to decide. We handle the worker, prompts, models, tool connections, monitoring, and tuning. Your team handles the business decisions.
No. Extracting data is only the middle step. The useful outcome is the point: catch an overcharge, chase a credit, recover an old lead, shorten response time, prepare a claim packet, draft the carrier email, track the reply, or bring the exception to the right person.
We ask for the repeated work your team already knows is annoying: bills, claims, follow-up, copy-paste, calls, emails, quotes, spreadsheets, scheduling, customer follow-up, and CRM updates. The best first job has real samples and a result we can measure.
Common first workers include inbox intake, invoice and PDF checking, quote follow-up, real estate admin follow-up, packet assembly, CRM updates, and customer reactivation. We start where the work is already digital, repeated, and tied to money, cost, errors, response time, or staff hours.
Managed support covers unlimited monitoring for installed workers, fixes when the handoff breaks, small tuning inside the agreed job, output review, and rule or prompt adjustments. New workers, major integrations, and new workflow scope are quoted separately.
Owner-led service, real estate, distribution, and operations-heavy businesses with 5-50 people are the best starting point. Brokerages, property teams, distributors, cabinet companies, healthcare admin teams, and commercial services all have digital back-office queues that keep coming back.
No. Mark Cuban is not affiliated with Agentic Flow. We reference his public comments because they describe a practical market shift: small and medium-sized businesses need people who can turn AI tools into working business processes.