Know the process you want automated? We scope it in one working session and build. Not sure where the time goes? We audit first. Either way the price is fixed before we start, and every workflow is yours to keep.
Manual ops don't fail loudly. They just quietly cost you a headcount a year.
The automation requests we hear most.
Every problem above shows up in practice as one of these requests. Whether you already know which one is yours or want help finding it, these are the workflows that come up again and again.
Automation that pays off from the first weeks
from kickoff to the first measured result
from automated lead scoring and routing
from automated invoice extraction and validation
payment processing cycle time
Two ways in. Same team, same ownership, same fixed-price discipline.
For when you know a team is losing time, but not exactly where. We map every process the team really runs, score each opportunity by effort vs. payback, and hand you a signed ROI model before any build starts. Then we implement the 3-6 automations that pay back fastest. Best for teams with no clear starting point, or leadership that needs a defensible business case before budget is approved.
For when you already know the process and just need it built. You describe the workflow, we scope it in one working session (Zero Sprint, included in the build price), price it, and build. You skip team-wide discovery and don't pay for research you've already done. Best for technically fluent teams with a specific, documented pain point and no patience for a multi-week audit.
How the Engagement Runs
Free · 1–2 calls
What we do: walk through the process, the tools you run it on, and where the time actually goes.
What you get: an honest go/no-go, and a clear route to either Audit or Direct Build. We don't pitch either one.
1–2 weeks, or one working session
Which one you get depends on how clearly your process is already defined, not on how big your team is.
Direct Build starts with a Zero Sprint. One focused session settles the scope, the implementation approach and the open details. Included in the Direct Build price, not a separate paid engagement.
Audit & Automate starts with an Automation Audit. A separately priced phase that hands you a process map, a prioritized roadmap, solution blueprints and an ROI model before any code is written.
3–6 weeks
3–6 automations live in production, tested and documented.
Hands-on training for your team.
User acceptance testing against real cases from your own operation, before anything goes live.
Included
A stabilized system, handed over with a runbook and a KPI baseline to measure against.
30 days of active monitoring after go-live, catching the edge cases the blueprint missed and fixing them before they compound.
Optional · priced separately, monthly
Continuous optimization, tuned on real usage data collected after go-live rather than launch-day assumptions.
A monthly performance report.
Three tiers, sized by support hours per month: Basic (8), Standard (16), Premium (24, plus a quarterly business review).
You decide what gets automated, based on what our analysis shows will pay off.
Team of 3–8, first step into automation
Direct Build from
$3,600
Team of 8–25, clear pain, ready for a pilot
Direct Build from
$7,900
Team of 25+, or a complex stack
Direct Build from
$12,200
What Sets OTAKOYI Apart
The orchestration layer is an implementation detail we pick per project. You're buying a measured outcome, not a platform subscription.
We take the operational mess end to end, interviews, process design, build, go-live. You're not managing us through a backlog.
Every phase is priced and agreed before it starts. Nothing is open-ended.
Where low-code stops, our engineers write the code. Same team, same accountability.
We design and build automation like this, and it's already in production.
What teams say after automating with us.
Frequently Asked Questions
You do, completely. Handover includes documentation, a credentials map, a runbook, and recorded training. There's no license and no per-seat fee.
See the ROI before you approve the budget.
Anyone can build the automation. My job is telling you honestly whether the ROI is worth it.
Your tools don't cover the whole process, so people fill the gaps: re-keying data between systems, copying updates from one tool to another, assembling documents by hand. None of it shows up in a job description, but it eats the week.
Work the systems can't finish lands on someone's desk: entries to validate, queues to moderate, edge cases to route by hand. Every manual step carries an error rate, and errors cost more downstream than the task itself.
Leadership sees the AI potential but has no defensible way to pick the first project, so the initiative stalls in planning for another quarter. That's why there are two ways in, not one. You'll see them a little further down.
