Function
Treasury operations
Outcome
Automated, programmable cash operations
What you can observe
Fewer manual reconciliations, auditable cash movements, predictable close times.
Reconciliation, rules, controls, and real-time execution.
Service as software
Systems built to deliver
Building is faster than ever. Owning production is not. We design, build, and operate end to end, from architecture to daily operations, integrated with what you already run, with clear ownership when something breaks.
Outcomes console
Inputs
Business function
Constraints
Targets
System
Execution
Designlive
Buildlive
Operatelive
Latency
-38%
Cost / unit
-22%
Uptime
99.9%
0+
Years building WakeUp Labs
0+
Systems shipped
0
Countries reached
Trusted by
Teams building at serious scale
Teams shipping systems that have to survive real operations, not demos.
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The shift
From workflows to outcomes.
Service-as-Software changes the operating model. This is not about adding one more tool. It is about contracting for the work that actually runs in production, with metrics and ownership you can stand behind.
01
Before: Companies bought software
Now: Companies need outcomes
Licenses helped teams scale, but execution still depended on people, and most budget went to running the work, not the tool. The shift is buying operational results, not another shelf product.
02
Before: Teams owned every task
Now: Systems execute work
With AI and modern infrastructure, core functions can run end to end with controls.
03
Before: Vendors delivered tools
Now: WakeUp Labs delivers execution
We design, build, and operate systems that carry business functions in production.
Why most companies stall
The gap is not AI. The gap is execution.
For decades, software scaled teams. It did not replace the work. Today, companies need systems that execute critical functions directly. Time-and-materials and team-for-hire contracts rarely line incentives with live results. Handoffs after go-live leave you holding the risk; operating the system is where value is proved or lost.
01
Most AI pilots fail because operating models never changed.
02
Procurement and RFPs are built to buy tools, not execution.
03
Teams measure activity while accountability for outcomes stays unclear.
04
Legacy stacks, identity, data, and core systems make integration the real project, not a line item in a deck.
05
Risk and governance stay fuzzy: audit trails, controls, and who owns the blast radius when automation misfires.
Why this matters now
Shipping got easier. Owning production did not.
Three shifts teams feel in the same quarter. Tap each to go deeper.
Shipping is table stakes.
Prototypes and AI make “we shipped it” easier than ever. Raw speed alone is a weaker differentiator than it used to be.
Operating model
Design. Build. Operate.
WakeUp Labs owns execution from blueprint to daily operations.
01
Design
Map one critical function and define the operating system around it.
Observable: You get a scoped blueprint: owners, interfaces, risks, and what “done” means in production.
02
Build
Build production architecture across backend, agents, and integrations.
Observable: You get working software in your environment: deployable paths, tests, and handoff-ready runbooks.
03
Operate
Run and optimize in production against measurable business targets.
Observable: You get live operations: monitoring cadence, change control, and metrics tied to the business outcome.
Functions to systems
We turn business functions into scalable systems.
We do not ship tools and leave. We build and run the system that executes the function.
Function
Customer acquisition
Outcome
Qualified pipeline generation
What you can observe
Funnel metrics you can defend in a review, less lead leakage, and a documented path from touch to qualified conversation.
Capture, enrichment, scoring, and sales handoff with data lineage, RevOps-friendly SLAs, and traceability from source to opportunity.
Function
Payments and settlements
Outcome
End-to-end execution
What you can observe
Traceable payment states, fewer exceptions, settlement SLAs you can report on.
Collection orchestration, validation, settlement, and reporting.
Function
Internal workflows
Outcome
Agent-assisted operations
What you can observe
Less swivel-chair work, consistent handling, logs you can review when something breaks.
Repeatable execution with guardrails, visibility, and control.
Our work
Live use cases from real delivery
Recent writing from WakeUp Labs: case studies and technical notes with documented outcomes.
Each piece includes execution context you can trace from problem to delivery.
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What makes WakeUp Labs different
Not a dev shop. Not an AI agency.
At WakeUp Labs, we have spent five years building production infrastructure and business systems for demanding environments. This is a systems operator model built for execution, not slideware.
Systems-first, not AI-first
AI is one layer. Our core is production systems that execute critical work reliably.
Execution ownership
We do not hand off code and disappear. We stay accountable for operational outcomes.
Real infrastructure depth
Deep backend, protocol, blockchain, and enterprise integration work (identity, core systems, and controls), not wrappers or prompt-only layers.
Governance and integration
We map how systems meet your policies and platforms: access, data boundaries, audit expectations, and safe change paths across legacy and new stack.
How we work with enterprise
Assurances that survive procurement and production.
Security and data handling
We scope access, data flows, and retention with your policies in mind, so production work stays reviewable and defensible.
Change control and runbooks
Releases, monitoring, and incident paths are documented. You get predictable operations, not a black box.
Commercial model aligned to outcomes
Engagements tie to scoped functions and measurable results, so procurement buys execution and continuity, not open-ended effort.
Infrastructure heritage
Built on real infrastructure.
This is a critical distinction. WakeUp Labs is not a prompt shop. We build high-stakes systems on production-grade stacks.
Read case studies & engineering notesBlockchain infrastructure: Aave, Rootstock, Arbitrum, Optimism
Protocol-grade smart contracts and integrations
Scalable backend systems and data architecture
Enterprise implementations in production
Not no-code. Not wrappers. Not an AI agency.
Replace one workflow. Get one measurable outcome.
Start with a bounded pilot, clear success criteria, and a straight conversation about your environment and controls. We design, build, and operate the system end to end.
Talk to us