AI Adoption Studio

AI adoption made simple for growing businesses.

Simple AI, configured on your actual data. Refundable if it doesn't work. Built for growing businesses that want operational relief, not enterprise complexity.

"I know the business can operate better. I just don't know how to get there without creating another problem." — what a lot of growing-business owners tell us on the first call.
10×
Faster quote turnaround
20 hrs/wk
Freed from manual work
87%
Fewer process errors
90%
Lower processing effort
Why GoNsave

What growing-business owners actually tell us.

01

"Every time we grow, we need more people."

Growth should create leverage. Instead it creates more hires, more supervision, more coordination, more errors. Scaling isn't making the business more efficient — it's just making it larger and harder to run.

02

"My team is too busy doing repetitive work."

Your best people spend the week copying information between tools, preparing quotes, updating spreadsheets, following up with customers, generating reports. They could do more valuable work — the daily operation consumes all their capacity.

03

"We tried AI, but the result was disappointing."

The tool didn't understand your terminology. It worked in a demo but not in daily operations. It required so much manual correction the team stopped using it. Now everyone is skeptical of trying anything new.

04

"I know AI could help, but I don't know where to start."

Which process should we automate first? Which tool? Is our data good enough? Will it integrate? Do we need a technical hire? How much? What ROI? What if it doesn't work? The problem isn't lack of interest — it's lack of clarity.

You know AI can help. The hard part is making it work in your business.

You may have tried the generic tools. Your data may be scattered. Your team may already be overloaded. You may not have a technical hire — and don't want to become one. That's exactly where we begin.

The outcome

Grow without growing operational work at the same pace.

Recover team capacity. Move faster. Hire less often. See what's happening in the business without stitching four dashboards together.

Recover team capacity
Hours back per person, every week.
🚀
Faster response times
Customers and internal.
Fewer errors
Audit trails, human handoff on edge cases.
👥
Hire less often
Leverage instead of headcount.
📊
Operational visibility
One source of truth, not five.
🧠
Less owner overhead
You stop being the bottleneck.
How we start

Three steps. Refundable if it doesn't work.

Start small, test on your real data, and only continue if it actually works.

1

Free diagnostic

You leave the diagnostic with a clear picture of your most expensive manual process and a decision — worth automating, or not. Whether we build for you or not.

Cost: $0Commitment: none
2

Refundable prototype

One week. An engineer embeds with your team on your actual data — not a demo dataset. Fixed fee. 100% refundable if the prototype doesn't work. This is the whole point of the model — you validate the return before committing to a monthly retainer.

100% refundable if it doesn't work
Cost: fixedCommitment: 1 week
3

Monthly retainer

We build, deploy, host, maintain, and improve the feature. Included: hosting, monitoring, retraining when your data shifts, edge-case fixes, small improvements, direct support. Month-to-month — no annual lock-in.

Cost: monthlyCommitment: month-to-month
Start with the free diagnostic
Case studies

A procurement supplier's Monday morning changed.

Their team went from spending Mondays digging through last week's RFQs to opening an inbox where the drafts were already there.

10×
Faster quote turnaround
20 hrs/wk
Saved per team
87%
Fewer process errors
90%
Lower processing effort

"We used to spend Mondays digging through last week's RFQs. Now they're already answered before we open our inbox."

— Head of Ops
This is for you if

You'd say yes to at least one of these.

The moments when growing-business owners typically come to us — pulled straight from real conversations.

Sales just increased, and you're already thinking about the next operations hire.
A key person is buried in admin and you can't afford for them to leave.
Your team spends more hours moving information between tools than serving customers.
You tried an AI tool and it didn't stick.
You're prepping the annual budget and want fewer variable costs next year.
A competitor announced something with "AI" in the headline and you're not sure how to respond.

If two or more sound familiar, the diagnostic is a good use of 30 minutes. Book the diagnostic →

Book a call

Tell us what your team does by hand every day.

Book 30 minutes. Free diagnostic. Clear business case at the end.

← Home What we automate

What we automate.

Same architecture underneath — an AI configured on your data, with strict rules, human handoff, and continuous improvement. Six different applications on top.

01

Financial Assistant — ZAVER

The reality. Gig workers can't see their income clearly. Earnings signals scattered across foodpanda, Grab, Rappi, Uber, DiDi. Payslips buried in chat threads. Financial decisions made in the dark.

What it does. A WhatsApp-native financial companion. Tracks earnings across platforms, compares payouts, forecasts income, coaches on budgeting. Voice-friendly for riders with limited data plans.

Turn cross-platform earning chaos into a single financial voice.
WhatsAppVoice-friendlyMulti-platformForecasting
ZAVER rider Money app — weekly goal, AI insight, statement upload
Rider view — weekly goal, AI-insight tip, payslip upload.
Zaver CRM Income Insights — verified rider income, consistency, platforms
Lender view — verified income, consistency, platform mix.
02

AI Assistant — KODO

The reality. Employee wellness programs live on an intranet nobody visits. Engagement drops after week 2. A human wellness team costs a fortune to scale.

What it does. A conversational wellness AI that meets employees on WhatsApp / Telegram / Messenger. Nudges, coaches, checks in. Escalates when a human is needed. Reports engagement to HR.

Reach every employee, at 1/10th the cost of a wellness team.
WhatsAppMulti-languageHR-reportableHuman escalation
KODO Assistant onboarding chat on WhatsApp
WhatsApp onboarding — pick a pack, set a reminder time.
KODO Admin panel — 30-day tip library and Q&A bank
Admin — 60-tip content library plus Q&A bank with unmatched-question triage.
03

AI Research Assistant

The reality. Analysts at research firms drown in PDFs. Insights get buried; the same questions get re-answered every quarter. A junior analyst spends most of their week on desk research, not analysis.

What it does. Reads and indexes your entire research corpus. Answers analyst questions in natural language with citations. Deployed live at a top-10 research firm.

Search a decade of research in seconds. Every citation traceable.
PDFsExcelCitationsMulti-docPrivate data
AI Copilot — analyst chat on research firm's corpus, Azure OpenAI GPT-4o
Analyst copilot on the firm's research corpus. Every answer cites its source.
04

CRM Configuration

The reality. Client and team data is scattered across five tools. Nobody has the full picture. Standard CRMs charge per seat and force your team to fit their workflow.

What it does. A CRM configured to your workflow, not the other way around. Automated data capture from email and WhatsApp. A feature that summarizes account status and flags accounts going quiet.

One source of truth for who's doing what — configured to how you actually work.
Email intakeWhatsAppAutomated summariesOwner alerts
Loan Officer Platform — Bangladesh: applicants, document collection, KPIs
Loan officer platform — Bangladesh. 91% document-collection rate across 247 applicants.
05

Marketplace

The reality. Matching patients to providers is manual. Reporting takes weeks. Compliance is a spreadsheet nightmare.

What it does. Automated patient-provider matching from intake forms. Structured session notes. Reports generated on demand, compliance-formatted.

Get the right patient to the right provider — with reports that write themselves.
Intake automationProvider matchingCompliance reportsStructured notes
Family portal for a cognitive-decline care marketplace — bilingual EN/ES
Family portal — elder-care matching + patient-evolution tracking. Bilingual EN/ES.
06

Data Collection

The reality. Field data trapped in WhatsApp threads, paper notes, and field officer memory. By the time it reaches the dashboard, decisions are already stale.

What it does. Data Collection ingests messaging-app submissions — photos, voice notes, payslips, text — classifies them, extracts structured records, and lands them in your dashboard or API. Sub-2-second image-to-database time.

From WhatsApp to database in under 2 seconds.
WhatsAppTelegramPhoto OCRVoice-to-textREST APIReal-time
GoNsave admin — Payslip Pair Datas table with Rappi entries, weekly rollup, filters
Payslip ingestion admin — structured Rappi records with weekly rollup and filters.
Book a call

Which one shape sounds closest to your Monday morning?

Book a free diagnostic → Or write it out
← Home Case studies

Case studies.

Real deployments. Real numbers. Refundable if they didn't work.

Case study 01

Procurement supplier — RFQ automation.

The problem. RFQ emails piled up faster than the team could quote them. Quote turnaround stretched to 3–5 days. Error rate on manually assembled quotes was high enough to cost real money on every large tender.

What we built. A feature that reads RFQ emails as they arrive, extracts requirements, matches them against internal pricing tables and supplier catalogues, drafts a quote in the supplier's own format, and routes it to a human for one-click approval. Everything below a confidence threshold hands off to a person — no black-box quotes go out.

10×
Faster quote turnaround
20 hrs/wk
Saved per team
87%
Fewer process errors
90%
Lower processing effort
"We used to spend Mondays digging through last week's RFQs. Now they're already answered before we open our inbox." — Head of Operations

Engagement. One-week refundable prototype on real RFQ data. Deployed on month two. Running for five months.

Coming next

Five other deployed features — full write-ups in progress.

Short numbers from the features already live in production, ahead of the long-form case studies.

💰
5

Financial Assistant — ZAVER

Delivery platforms unified in a single WhatsApp companion. Riders across Malaysia in pilot.

🌿
78%

AI Assistant — KODO

Team engagement holding at 78% into month 3 — a wellness-app benchmark first.

📚
2,148

AI Research Assistant

PDFs indexed at a top-10 research firm. Analyst answers in seconds with citations.

🗂️
4

CRM Configuration

Accounts flagged quiet per week — before they churned. Configured to the team's own workflow.

⚕️
91%

Marketplace

Patient-provider matches automated. Compliance reports generated on demand.

1.8s

Data Collection

Average WhatsApp-to-database latency across live field deployments.

Ready to try one on your data?

Free diagnostic. Clear business case in 30 minutes.

Book a free diagnostic → How to start
← Home How to start

How to start.

The refundable-prototype model. And a short FAQ so you don't have to email us for the basics.

The ladder

Three steps. Refundable prototype in the middle.

1

Free diagnostic

A 30-minute working session with Maria and an engineer. We ask about your most expensive manual work — the stuff that eats your team's Monday. We hand you a clear business case at the end, whether we build for you or not.

What we do
Map your most expensive manual process. Estimate the ROI window on automating it.
What you get
A one-page business case, a rough scope, a specific first AI feature to try — whether we build it or not.
What it costs
$0. No commitment.
What we ask
30 minutes with someone who owns the process.
2

Refundable prototype

An engineer embeds with your team for one week. They work on your actual data — real invoices, real RFQs, real emails. At the end of the week, you see the feature running on your work. If it doesn't work, you get 100% of the fee back — in writing, before we start.

What we do
Build a working feature on your real data. Show it running, in a real workflow, at the end of the week.
What you get
A working prototype, a demo to your team, and a decision: keep it or refund.
What it costs
Fixed fee. 100% refundable if it doesn't meet the success criteria we agree at the start.
What we ask
Access to sample data, one hour of your team's time per day, and honest feedback.
3

Monthly retainer

Once the prototype works, we deploy it, host it, maintain it, and improve it. Everything included — infrastructure, monitoring, retraining, edge cases, small improvements.

What we do
Run the feature in production. Monitor it. Retrain when your data shifts. Fix edge cases. Ship small improvements.
What you get
A feature that keeps working — and keeps getting better — without you needing an in-house AI team.
What it costs
Monthly retainer, priced against your manual-work cost — not our engineer time.
What we ask
A monthly 30-minute check-in. Month-to-month, no lock-in.
FAQ

Questions we get on every first call.

The short, factual answers. Save you an email.

What kind of AI features do you build?
Each feature is a narrow, purpose-built AI: it reads, decides, and acts on messy input like emails, invoices, PDFs, or WhatsApp messages, with strict rules on what it can and cannot do. When it hits an edge case, it hands off to a human. It gets better over time. Think Financial Assistant, AI Assistant, Research Assistant, CRM Configuration, Marketplace, and Data Collection — six shapes we've built.
How is this different from Zapier or n8n?
Zapier and n8n move structured data between apps. They can't read a PDF invoice, a voice note, or a free-text email and decide what to do. Our features can — they handle the messy input layer that traditional automation can't.
How is this different from ChatGPT?
ChatGPT is a general-purpose model. It doesn't know your data, your workflow, or your rules. It invents answers when it doesn't know. Our features are bounded — trained on your actual data, restricted by your rules, and audited by a human handoff.
What if the prototype doesn't work?
You get your money back. 100% refundable, in writing, before we start. This is the entire point of the model — you validate ROI on your real data before you commit to a monthly retainer.
What data do you need?
For the diagnostic, none. For the prototype, samples of the actual work — real invoices, real RFQs, real emails, real spreadsheets. Not synthetic. Your data lives isolated, is never shared, and never trains anyone else's model.
Which industries do you work with?
We've deployed in architecture & design, marine & logistics, food & beverage, professional services, wholesale & distribution, manufacturing, healthcare, microfinance, market research, and gig platforms. If your team spends 20+ hours a week on repetitive back-office work, we probably fit.
How much does it cost?
Free diagnostic. Fixed refundable fee for the prototype. Monthly retainer for the deployed feature — priced against your manual-work cost, not our engineer time. Payback is usually well under a year. Talk to us for a range.
How long until we see results?
Diagnostic is a 30-minute session. Prototype is one week. A working feature on your data, hosted and running, is typically 3–6 weeks from first call.
Do you replace people?
No. We free your best people from the boring stuff so they can do the strategic work you hired them for. In our own deployments, no team has cut headcount — they've grown revenue with the same headcount.
Is our data secure?
Yes. Your data is isolated per engagement, never shared across clients, never used to train models outside your workspace. Details on request.
"We're not ready. Our data is messy."
Almost every business we work with says the same thing at the first call. The diagnostic exists to answer this exact question — in 30 minutes we can tell you whether your data is workable as-is, or what needs to change first. No commitment either way.
"We already use Zapier / n8n / a chatbot."
Great — those are useful for structured data moving between apps. What we build handles the messy input layer they can't: reading an email attachment, understanding a voice note, extracting from a PDF, deciding what to do with free text. Complementary, not a replacement.
"We can't share our data."
You shouldn't, until that's clear. Your data lives isolated per engagement, is never shared across clients, and is never used to train models outside your workspace. If your concern is residency, PII, or IP protection specifically, tell us on the first call — different answer for each.
"How do we know it'll keep working?"
Every monthly retainer includes hosting, monitoring, retraining when your data shifts, edge-case fixes, and direct support from a person — not a ticket queue. The feature gets better over time, not worse. You can talk to a current client on request.
Still curious?

Book the free diagnostic. No pitch — just an audit.

Book a free diagnostic → Book a call
← Home Book a call

Book a call.

30 minutes. No pitch. We ask about your manual work, you decide if it's a fit.

Or write it out

Prefer a form? Two questions and we'll take it from there.

We reply within one business day. No sales sequence.

We respond within one business day. Southeast Asia & Latin America. Mon–Fri.