Built for the teams who own the outcome.
We work with the operators — the people accountable for making work run, revenue move, and systems hold together. Not just IT. Not just leadership.
RevOps Teams
You own the revenue infrastructure — pipeline, data, tooling — but too much of it still depends on humans doing what systems should.
- Prospecting sequences built manually, not systematically
- Pipeline data that's incomplete or a week out of date
- Reps doing data entry instead of selling
- Handoffs between sales and CS that rely on memory
Pipeline intelligence, lead scoring models, and conversion forecasting — so your revenue team stops reacting and starts predicting.
Operations Teams
You keep the business running, which means absorbing every coordination failure that falls through the cracks between teams and tools.
- Workflows held together with Slack threads and spreadsheets
- Status updates that require chasing three people
- Onboarding and fulfillment that can't scale without headcount
- Processes that only work because one person remembers to do them
Process anomaly detection and operational pattern analysis — surfacing inefficiencies before they become bottlenecks.
Engineering Teams
Your team is capable of building the automation layer. The problem is the backlog is full and this work keeps getting scheduled for next quarter.
- Internal tooling that never makes the roadmap
- Integration work sitting behind product priorities
- Senior engineers doing work that should be automated
- Tech debt accumulating while the team ships features
AI-augmented development workflows, agent architecture, and data pipeline design — built alongside your team or independently.
Finance Teams
Your models are right. The problem is the 40 hours a week it takes to keep them current — pulling data, refreshing spreadsheets, chasing numbers across systems that don't talk.
- 13-week rolling cash flow rebuilt manually every week
- Three-statement models that break when one input changes
- FP&A cycles that start with a data pull, not the analysis
- AP/AR reconciliation in spreadsheets no one else can audit
Predictive forecasting, ML-driven variance detection, and real-time cash flow modeling — so your team spends time on decisions, not data prep.
Digital & Consulting Agencies
You're getting asked for AI capabilities you don't have in-house yet — or you have more work than your team can absorb. You need a senior partner, not a subcontractor to manage.
- Clients asking for automation you're not staffed to deliver
- Projects scoped and sold with no bench to execute them
- AI capability gaps that are starting to cost you deals
- Overflow work too complex for a generalist freelancer
Co-develop the AI practice with you — methodology, packaging, delivery — so the capability becomes yours, not ours.
You sell it, we build it. White-label or co-branded. Senior-led, no juniors, no hand-holding required.
You want to offer AI operating layers as a service. We help you build the practice — methodology, packaging, and delivery — so it becomes yours.
We've been in your world.
Every industry has its own version of the same problem — too much manual coordination, disconnected systems, and AI implementations that fail because the foundation wasn't right.
Healthcare
Prior auth, revenue cycle, compliance workflows — where manual work carries real risk.
Finance
Underwriting, reporting, compliance, and client ops still running on email threads.
Manufacturing
Supply chain visibility, scheduling, and vendor coordination that can't afford to slip.
Logistics
Dispatch, exceptions, and customer comms — high volume, low tolerance for delays.
Retail
Inventory sync, fulfillment ops, and customer workflows that only scale with automation.
Legal
Matter intake, document workflows, and billing coordination that chews senior time.
Don't see your industry? The problems tend to look the same regardless of the logo. If that's where you are,
Start with a diagnostic, not a commitment.
The most expensive mistake in any technology project is solving the wrong problem. Before we build anything, we offer a half-day Operating Layer Diagnostic — a structured working session where we map your workflows, identify the opportunities, assess your data readiness, and leave you with a prioritized roadmap.
Workflow Mapping
We walk through your key operational workflows together. For each one we identify where manual coordination lives, where systems are disconnected, and where a person is doing work a system should be doing.
Data Readiness Assessment
Before any AI implementation succeeds, the underlying data needs to be ready. We assess where your data sits on the maturity curve — from existence and quality through accessibility and governance. This conversation alone saves most companies from spending money in the wrong place.
Opportunity Prioritization
We score each opportunity on two dimensions: business impact and implementation feasibility. The result is a clear picture of which problems to solve first, which to sequence next, and which are not worth solving right now.
Written Roadmap Deliverable
You leave with a prioritized opportunity map, a data readiness assessment for each opportunity, and a defined Phase 1 scope with a clear outcome, ownership structure, and 90-day delivery framework.
Every technology project comes down to one of two things.
Either you need to run more efficiently — cut costs, eliminate the manual work that should not require a human, stop losing time to coordination overhead that compounds every day it is not fixed. Or you need to grow revenue — sell more, convert faster, retain better, surface the right opportunities before they go cold. That is it. Two problems. Everything else is detail. The web solved pieces of both. ERP solved pieces of both. AI is the most powerful tool we have worked with for solving both. It is also the easiest to implement badly. Which is why we start with the problem, not the technology.
Build
Ship a new capability in 90 days
You might be here if:
- There is an efficiency problem or a revenue opportunity that keeps getting deprioritized.
- The team does not have the bandwidth or the AI-native experience to build it right.
- The opportunity keeps slipping while manual work fills the gap.
What the Pod owns:
We map the work, design the layer, and ship it in 90 days.
AI workflows. Agent implementations. Systems integration. One mission.
Scale
More output without adding headcount
You might be here if:
- Output feels slower than it should be. Manual work is filling the space AI should own.
- The answer is not more headcount. Judgment is being wasted on coordination.
- Hiring feels risky, but the backlog keeps growing.
What the Pod owns:
Build the operating layer that lets the team move faster without adding people.
Process automation. AI integration. More shipped value.
Stabilize
Make delivery predictable again
You might be here if:
- The function runs but it runs on duct tape. Manual handoffs, fragile integrations.
- Processes that only work because the right person remembers to do the thing.
- Roadmap commitments keep slipping because stability work never ends.
What the Pod owns:
Codify what works, replace what does not, and leave behind an operating layer the team can actually depend on.
Fewer incidents. Automated monitoring. Predictable delivery.
How We Work
Good outcomes don't happen by accident. They happen when the problem is mapped correctly, ownership is clear, and the team is built around the result. Werx Pods follow a simple 90-day arc: define what needs to change, design the team to change it, embed and execute, then hand off something that lasts.
Discovery & Outcome Definition
We start by understanding what is actually happening. Where is the manual work? What is disconnected? What should AI be handling but is not? We also assess your data readiness — the most common reason AI implementations fail is not the technology, it is the data underneath it. We define the outcome clearly, confirm the data foundation is ready, and scope the build before a single line of code is written.
Problem Mapping + Pod Blueprint
We map the existing processes, identify the automation opportunities, and design the Pod around the specific capabilities the work requires. Roles, interfaces, and ownership defined up front. Senior-led. AI-native from day one.
Build & Integrate
The Pod embeds into your tools and cadence immediately. We build the workflows, agents, integrations, and automation in focused cycles with visible progress at every step. No black box. No waiting until the end.
Handoff & Knowledge Transfer
At the end of 90 days, we harden what was built, document how it works, and transfer everything to your team. The capability stays. The dependency on us does not.
The capabilities that make automation actually work.
Every Werx Pod is assembled around the outcome first, then built from senior talent across the capabilities the problem actually requires. We don't send roles. We design the right mix to land the objective in 90 days.
AI Workflow Automation
We map what is manual, identify where AI belongs, and build the automation layer that handles it. Workflows that used to require humans running between systems become processes that run themselves.
Agent Implementation
Design and deploy AI agents for specific business functions. From prospecting and sales automation to internal operations, we build agents that do real work, not demos.
Systems Integration
Connect the systems that should already be talking to each other. We build the integrations and AI middleware that eliminate the manual translation work sitting between your tools.
Process Modernization
Processes designed around legacy systems that became the default way of working. We map what exists, identify the drag, and rebuild it on a modern foundation with AI handling the repetitive work.
Software Engineering
Senior engineers who design, build, and own production systems without supervision. They make tradeoffs, not tickets. 10+ years average experience on every engagement.
Delivery Leadership
Technical leads who create clarity, manage stakeholder interfaces, and keep the Pod accountable to the 90-day objective. The capability your team keeps after we leave.
U.S. leadership at the center. Senior nearshore execution at scale.
Werx Pods combine U.S.-based technical leads with senior engineers across Latin America. Same time zones. Shared language. One integrated unit accountable to a 90-day outcome. Not an offshore handoff. A unified delivery team.
Two ways to start.
Not sure where to begin? Start with the diagnostic. Already know the problem? Let's talk about building it.
The Operating Layer Diagnostic
A half-day working session where we map your workflows, identify the opportunities, assess your data readiness, and leave you with a prioritized roadmap and a clear picture of what to build first.
$5,000 — $10,000. Fixed price. Written deliverable included.
Book a Fit Call
Already know the problem worth solving? Let's talk about what a 90-day operating layer engagement looks like for your team.
No pressure. Just a conversation about what 90 days could actually change.