Coral Way Capital turns revenue and document-heavy operations into governed production systems. Fixed scope. Measurable economics. A first deployment designed for 4–8 weeks.
coral way / workflow architectureillustrative path · whatsapp sales
Best fit
30–250 employees
Economics
MXN 1.5M+ annual exposure
Delivery
Founder-led · 4–8 weeks
Founder-led from MéridaServing companies across MexicoRevenue operationsDocument-heavy operations
Selected work
The system matters. The operating change matters more.
real estate · mexico
From unattended WhatsApp inquiries to a qualified sales handoff
For a Mérida real-estate brokerage, Coral Way Capital built a WhatsApp workflow that captures intent, searches the property catalog, qualifies the buyer, schedules a showing, and returns exceptions to a person.
WhatsApp-native workflow — prospects chat naturally without another app or form
Semantic property search over the full catalog — no rigid filters, just describe what you need
Automated lead qualification through conversation — budget, timeline, and preferences captured naturally
Real-time scheduling with availability checks and multi-stage follow-up campaigns
Human handoff detection — escalates complex questions or frustrated leads to a live agent
From fragmented evidence to reviewer-ready IMSS audit work
For a Mexican audit and compliance firm, Coral Way Capital built a controlled system that ingests evidence, classifies documents, runs deterministic checks, reconciles records, and routes findings to a qualified reviewer before closure.
Automated ingestion of 29 evidence types — SUA exports, CFDI invoices, bank proofs, cédulas, accounting ledgers, and more
Deterministic audit tools for SBC calculations, quota reconciliation (COP), risk premium validation, and 8+ IMSS audit procedures
Hybrid AI pipeline — deterministic path always runs first; AI assists only for ambiguous layouts, never trusted silently
Full human-in-the-loop — CPA review gates ensure no finding is closed without explicit approval
Built on a multi-tenant platform with role-based access, real-time streaming, and per-project isolation
architectureimss audit · 8 procedures
29
Evidence types supported
8
Audit procedures modeled
CPA
Reviewer approval gate
One workflow at a time
Baseline it. Bound it. Deploy it. Transfer it.
1
Measure
Establish the baseline
Measure volume, labor, delay, errors, conversion, and cost of delay. If the economics do not support a build, stop there.
2
Control
Bound the authority
Define systems, data, deterministic rules, AI decisions, approvals, exceptions, and accountable owners before implementation.
3
Deploy
Build with operators
Deploy one controlled production workflow with the people who own the work—not as an isolated proof of concept.
4
Prove
Measure and transfer
Compare results with the baseline, deliver runbooks and ownership, and expand only when the evidence supports it.
Engagements
Start with one workflow. Expand only when the evidence earns it.
2 weeks
MXN 120K
Workflow Economics Audit
Decide whether to build—and where the economics are strongest.
Bring us the workflow everyone knows is slowing growth.
We will review its economics, owner, systems, and risk. If it is a strong fit, the next step is a focused 30-minute working session—not a generic sales call.
Best suited to established companies with 30–250 employees.
One workflow creates at least MXN 1.5M in annual exposure.
An executive sponsor and operating owner can participate.
Paid engagements begin with a MXN 120K Workflow Economics Audit.
Request received.
Choose a 30-minute workflow assessment. We will use the session to map the constraint, economics, and fit.
What makes this different from hiring an AI consultancy.
Fixed scope, fixed fee
One workflow. One price. No hourly billing, no scope creep, no open-ended retainers. You know the cost before we start.
Governance from day one
Every workflow ships with approval boundaries, escalation rules, human override points, and audit trails. Not bolted on after the fact.
Production-grade only
We don't build proof-of-concept demos or slide decks. Every engagement ships a working system with monitoring, quality gates, and handoff artifacts.
Deterministic first, AI assists
Rules and deterministic tools handle the predictable path. AI only steps in for ambiguous cases — and is never trusted silently.
Ownership defined before delivery
Scope states who controls credentials, data, documentation, recurring costs, custom code rights, and the exit path.
ROI you can measure
We baseline before we build and measure after we deploy. Every engagement ties back to time saved, error reduction, or throughput gained.
Delivery commitments
What every engagement is designed to make explicit.
Fixed
Scope and fee agreed before a production build begins.
Commercial boundary
Named
One accountable workflow owner on the client side.
Operating ownership
Human
Approval boundaries, exception paths, and override points.
Control design
Transfer
Runbooks, ownership, recurring costs, and an exit path.
Handoff requirement
Perspective
The shift from copilots to autopilots — and why governance is the missing piece.
01 · old model
Copilots sell tools
You buy software, hire people to use it, and hope for adoption. The ROI is uncertain, the audit trail is manual, and the value depends entirely on how well your team learns the tool.
02 · new model
Autopilots sell completed outcomes
The work moves end-to-end inside the operating systems the team already uses. Adoption, governance, audit trails, and human override still have to be designed deliberately.
03 · our position
The governance layer for outcome-based automation
We make automated work reviewable through approval boundaries, escalation rules, deterministic-first architecture, and human-in-the-loop review—from day one, not bolted on after.
"The next $1T company will be a software company masquerading as a services firm."
What is the difference between the assessment and the paid Audit?+
The initial assessment determines whether the workflow merits deeper work. The Workflow Economics Audit is a two-week, MXN 120K engagement that produces the baseline, risk register, data map, and fixed build recommendation.
Why not start with a free proof of concept?+
A demo can prove that a model responds. It does not prove workflow economics, permissions, exception handling, adoption, or production ownership. The paid Audit reduces those risks before either side commits to a build.
Do our data and systems need to be ready?+
No. The Audit maps what exists, what is accessible, and what is missing. A deployment begins only when the minimum data path, access owners, and operating baseline are clear.
How do you handle AI mistakes?+
The scope separates deterministic work from AI-assisted decisions. It defines thresholds, approvals, exception paths, human override, and logs before production. Material decisions are never trusted silently.
Will this replace our current software?+
Usually, no. The first goal is to connect and control work across the systems your team already uses. Any replacement recommendation must be justified separately.
What happens after the first deployment?+
The team compares results with the baseline and receives the agreed handoff. If the economics hold, Workflow Expansion can apply the same operating pattern to additional workflows.
Bring us the workflow everyone knows is slowing growth.
Start with a workflow assessment. We will map the constraint, size the economics, and tell you plainly whether it merits deeper work.