One team, from strategy to production
We audit where AI grows revenue and cuts costs, implement the processes inside your operation, and train your people to run them. You pay for outcomes, agreed on before we start.
FROM PROBLEM TO WORKING AGENT
WHAT CLIENTS TELL US
AGENTS WE SHIP
DOCUMENT PROCESSOR
CUSTOMER SERVICE AGENT
CONTENT AGENT
CREDIT ANALYST
VOICE AGENT
CLAIMS AGENT
DATA ANALYST
INVENTORY PLANNER
BILLING AGENT
CODING AGENT
AGENT ORCHESTRATOR
Enterprise teams that have built with Weplash
The problem
You tested something, it worked in a demo, and that's where it stayed. Nobody turned it into how the team actually works every day.
You tested something, it worked in a demo, and that's where it stayed. Nobody turned it into how the team actually works every day.
It belongs to everyone, so it belongs to no one. It gets done halfway, with no clear owner and nobody to keep it running after launch.
It belongs to everyone, so it belongs to no one. It gets done halfway, with no clear owner and nobody to keep it running after launch.
It takes senior people who have shipped AI to production. Hiring them takes months, costs more than ever, and the window keeps closing.
It takes senior people who have shipped AI to production. Hiring them takes months, costs more than ever, and the window keeps closing.
The solution
AI audit
No six-month engagements. No 200-slide decks. An AI Strategist interviews your teams while a Forward Deployed Engineer digs into your systems and data. You get the AI opportunities with the highest return, quantified, prioritized, and buildable on your stack.
30-, 60-, or 90-day audits
Adoption report with ROI per opportunity
Across the whole company or a single function
AI AUDIT
Which process costs your team the most time?
We reconcile payments from 12 banks by hand every month.
Opportunity found
Automated reconciliation
High impact
High feasibility
Prioritized in the roadmap
Describe your process…
Transformation
We act as your external Chief AI Officer. We fix the workflows, automate what's costing you money, and train the people who will operate it. Both at once, with baseline metrics from day one.
Process implementation and automation
Training built on your actual operation
Baseline metrics and change management
WORKFLOW IN PRODUCTION
Lead qualification
New lead received
Data enriched
Lead scored
Routed to sales
Logged in CRM
PROGRESS
0%
Engineering team
A dedicated team working in your stack and your tracker, just like your own engineering team would: building apps and websites from scratch, integrating systems, and keeping what you already have running and up to date. AI is part of every step of their workflow, so they ship faster with less rework.
Build and maintain software faster with AI-native delivery teams
Pay only for the work delivered, with no commitments, or choose a flat monthly subscription
Product design, software development, QA testing, LLMs, agents, SEO/AEO, and project management
SPRINT 14 · IN PROGRESS
18
Tickets shipped
6
In review
12
Deploys
Shipped · last 2 weeks
Customer app
7 tickets
Payments API
5 tickets
Support agent
6 tickets
The return
Faster revenue growth
Higher EBIT margin
The constraint is no longer the technology. It's the organization.
Companies leading on AI grow faster and with better margins than their peers. They didn't buy better technology. They connected it to their systems, redesigned the workflows, and trained the people who run it.
Still haven't connected AI to their systems
Source: OpenAI, The State of Enterprise AI. Includes BCG data on AI-leading companies versus their peers.
Capabilities
Data Layer
We connect AI to the sources you already have: ERP, CRM, databases, spreadsheets. No migration. One data layer, always current, so every process works with real information instead of copies.
TRIGGER
Webhook
Process
Analyze Data
Action
Send Response
Ready to deploy
We design and build agents for your specific use cases: trigger, logic, and action defined on your actual process. No generic templates. Ready for production, not for a demo.
Report Scheduled
Data Complied
Send WhatsApp
Create Hubspot Contact
Cancel Meeting
We automate complete workflows end to end, not isolated tasks. The agents handle sequencing, errors, and handoffs between systems, so your team spends its time deciding instead of coordinating.
Task Input
AI Router
ChatGPT
Claude
Gemini
Copilot
We work with any AI: ChatGPT, Claude, Gemini, Copilot, or whatever your company already has under contract. We adapt to your current stack or recommend the best option for each case. And if it makes sense to switch later, we switch without rebuilding what's already there.
We work with what your team already uses: CRM, help desk, WhatsApp, calendar, databases. AI fits into your operation; your operation doesn't stop for AI.
Audit processes
Prioritize use cases
Redesign workflows
Automate processes
Deploy agents
Train teams
Measure ROI
Scale what works
Build apps
Launch websites
Integrate systems
Design databases
Implement LLMs
Optimize SEO and AEO
Secure applications
Ship hot fixes
Industries
Precision and compliance in every transaction.
Massive scale without losing speed.
Faster care with patient data protected.
Personalization at scale, across every channel.
Critical infrastructure that can't go down.
Claims and underwriting that are audit-ready.
More deliverables produced
"They brought AI into our marketing and design processes without slowing down day-to-day work. We now produce five times as many deliverables for Hilton Honors and our co-brand programs."
Adriana Toledo
Senior Manager Co-Brand Canada & CALA, Hilton
Of 2026 website commits, shipped by the Weplash team with Claude Code and Codex
"Weplash is essentially our website engineering team: new features, updates, maintenance, and hot fixes. They move at a speed we couldn't have reached on our own."
Patricia Mitter
Brand Lead, Deepgram
People trained across three areas of the bank
"They trained more than a hundred people across several teams using cases from our actual work, not generic examples. We came out with agents running, not just new knowledge."
Román Abreu
Operations Specialist, Inter-American Development Bank
More campaign variations and concepts
"We now explore seven times as many variations and concepts per campaign, so every marketing decision comes with far more options on the table."
Kristell Hurtado
Marketing Director, Coconut Grove Business Improvement District
Security
SOC 2
GDPR
HIPAA
Everything runs in your cloud or on your servers, under your controls.
Your information isn't stored or used to train models.
Confidentiality from day one and a full audit trail of every action.
FAQ
We build. No 200-slide decks, no six-month diagnostics, no strategy that ends without implementation. The same team that audits stays to execute.
Dev shops put junior talent at premium rates to build whatever you ask for. We're senior teams that show up having audited your operation, and every piece of work is scoped and approved before it starts.
Finding the biggest bottlenecks in your operation, building AI solutions that grow revenue or cut costs, training your people to run them, and repeating the cycle. It's not a tool. It's changing how the company works.
Audit: fixed price by scope. Transformation: custom partnership. Engineering team: monthly subscription with scope agreed per sprint. Every piece of work is scoped and approved before it starts. We'll give you a concrete number on a call.
The audit delivers a roadmap with quantified ROI in 30 days. The first process in production depends on scope, but the bar is the same every time: if nothing is running after 90 days, something went wrong.
Yes, and many clients do. We train your teams on AI tools using their actual processes, on-site or remote, and it's often the natural starting point: while we train, we see where the bottlenecks are. What we don't do is open enrollment or generic courses. That's what the Weplash AI Academy is for.
They will. That's why training isn't an add-on at the end: it runs alongside implementation, with the people who will operate what we build. An automation nobody adopts is money burned.
It's where almost everyone starts, because in 30 days you have numbers and a plan without committing to implementation. If you already know what to build, you can go straight to transformation or the engineering team. What we don't do is work for free.
Companies with real structure, budget, and operational complexity that want to become AI native but don't have the internal team to get there. Typically 100 employees and up.