Financial operations
The real books lived between spreadsheets.
Commission calculators, broker splits, partner contributions, payment schedules, and receivables all required separate reconciliation.
Flagship case study · client anonymized
One brokerage. One operating record.
RootWurx connected the deals, money, documents, CRM, marketing, market intelligence, and recurring work behind a multi-state commercial brokerage—then gave the team a practical AI interface in Slack.
● Public-safe case studyPortal and agent visuals use a sample company and synthetic records · no client data
01 · Problem
The business was running. The systems were not running together.
The problem was not a lack of software. It was that every important workflow had its own record, owner, and handoff.
Deal and listing operations
The same property was entered more than once.
Forms, Drive folders, CRM records, marketing materials, listing platforms, and internal updates did not share one approved record.
Growth work
Important recurring work depended on memory.
Market posts, chamber-event review, outreach responses, map submissions, and listing packets moved only when someone remembered the next step.
Institutional knowledge
Answers were scattered across people and places.
Deal history, documents, CRM activity, operating guidance, and decisions lived in different systems with no practical way to query them together.
RootWurx did not start with a chatbot.
We started by creating a governed operating record: structured data, deterministic financial logic, permissions, review steps, and an audit trail. AI handles messy inputs and questions. Code handles money and state changes. People approve high-impact actions.
02 · Solution
A daily operating system, not a pile of automations.
The portal became the control surface. Slack, CRM, Drive, Canva, market data, and scheduled jobs connect to the same underlying records.
Inputs
Forms, calculators, documents, CRM, market files
Messy work enters through the tools the team already uses.
Operating record
Deals, listings, people, leases, money, documents, history
One governed database with permissions, review states, and audit history.
Outputs
Portal, Slack answers, packets, posts, alerts, review queues
Each team sees the next useful action in the right place.
Actual product surface · sample company and synthetic dataClick anywhere on the dashboard to explore ↗
Start of day
See what needs attention
- Outstanding and overdue receivables
- Pending contribution and payment work
- Active listings, deals, and operating queue
During the day
Work the record
- Log or correct a transaction
- Review extracted listing information
- Advance AR and contribution states
Around the work
Let the system fan out
- Prepare marketing and listing packets
- Surface market and networking intelligence
- Answer questions in Slack with sources
03 · Build
Five connected operating layers.
Each layer solves a recognizable business problem on its own. Together, they compound because they share context.
01
Deals, commissions, and receivables
- Deal intake, deterministic commission math, broker splits, partner contributions, payment schedules, cost of sale, and AR
- Guided corrections preserve settled financial history and write an audit trail
- Role-based views give operations control while brokers see the work relevant to them
02
Listings and document intake
- Reads Drive materials, extracts structured listing facts, and surfaces source disagreements for review
- Selects property media, prepares Canva flyers, and builds a Crexi/CoStar upload kit
- Delivers a reviewed listing packet to the team in Slack
03
Marketing and map operations
- Creates closed-deal captions and branded Canva assets with Slack delivery
- Drafts a weekly market-presence post with Slack-first review and email fallback
- Submits eligible closed deals to Proxi as pending map drafts with the property photo, category, and broker tags; a person approves publication
04
Market, networking, and outbound intelligence
- Crawls chamber calendars nightly and posts a focused Monday shortlist across active markets
- Ingests source-labeled market data so the agent can recommend recent buildings to work
- Captures and classifies cold-campaign replies, mirrors hot signals to Slack, and prepares controlled CRM enrichment
05
Private knowledge and the Slack agent
- Searches the portal database, Follow Up Boss, Google Drive, Notion, executed-document corpus, and reviewed Slack knowledge
- Answers with provenance instead of generic internet knowledge
- Saves recurring questions as scheduled team digests without building another dashboard
The operating interface
The team can ask the business.
The agent is useful because the operating system underneath it is useful. It can move from a plain-English question to the relevant database rows, CRM activity, source document, or approved operating guidance.
Operator App
Public-safe simulation · questions mirror live capabilities · names, records, and answers are synthetic
04 · Result
The work became visible, repeatable, and queryable.
The value is not one dramatic AI moment. It is the accumulation of fewer handoffs, clearer ownership, and a system that remembers how the company works.
Separate financial trackers
Commission calculators, contributions, and AR reconciled by hand.
→
One financial workflow
Structured math, payment states, review controls, and an audit trail around the same deal.
Property data re-entered everywhere
Drive, forms, listing platforms, marketing, and map updates each needed their own handoff.
→
One reviewed record fans out
Approved information can prepare the listing kit, creative, Slack packet, and pending map submission.
Recurring work lived in people's heads
Market posts, chamber review, campaign responses, and reports depended on memory.
→
Recurring work has an operating cadence
Scheduled collection, drafts, shortlists, and review queues keep the week moving.
Knowledge was searchable one system at a time
A useful answer required knowing which person, folder, CRM screen, or spreadsheet to check.
→
The business is answerable in Slack
The agent can assemble an answer from connected sources and show where it came from.
In the client's words
“Nik has been instrumental in implementing AI across our organization. In a matter of weeks, we had custom workflows and portals launched that dramatically shifted the way we work day-to-day. He takes on projects through the lens of ownership and can spot gaps to act on. He really has gone above and beyond for our company, and everyone on the team has had great collaboration with him. On top of it all, Nik has shared new ideas and processes to deploy after our initial project's success. I highly recommend business owners utilize his expertise to launch AI within their day-to-day tasks.”
AI does not replace the operating system. It makes a good operating system easier to use.
That distinction matters. Financial calculations remain deterministic. Permissions remain explicit. High-impact actions remain reviewed. The AI layer handles ambiguity, retrieval, drafting, and prioritization around those controls.
Beyond brokerage
The industry changes. The operating pattern does not.
For another SMB, a deal may be a job, case, patient, order, or project. The same architecture connects the record, the documents, the money, the customer systems, and the recurring work around it.
Deal-driven teamsPipeline, documents, payouts, invoices, and follow-up
Service businessesLeads, jobs, schedules, reviews, and back-office state
Professional firmsClients, matters, knowledge, approvals, and reporting
Start with one broken workflow
What should your business stop holding together by hand?
We will map the real process, show you a bounded working demonstration, and build outward only when the first piece proves useful.