Chatbot AI Cost Optimization Service: Lower your WhatsApp chatbot AI cost in 1–6 weeks
We filter messages with Jev, move the chat model, trim the context, then retest before we switch your bot.
We reply within 24 working hours. No commitment.
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Chatbot AI Cost Optimization: Jev filters messages before GPT-6 Luna replies
// problems we solve
Problems we often find.
Your WhatsApp chat volume rises, and the AI cost rises with it. The bot replies to every message and rereads the full history each time.
We install a Jev filter before the chat model replies. A message that needs no reply never reaches the model, so cost drops.
Your team sees the total monthly bill, but not the AI cost per reply, or which day burned the most.
We install a daily and per-reply AI cost page. The number shows up every day, not only at month end.
You fear that a new chat model breaks replies, or sends too many messages to a human admin.
We retest live chats on a bot copy that is not connected to WhatsApp, before the production server switches. Rollback runs in 1 command.
The context the bot reads keeps growing: a long history and full tool results get resent to the model on every turn.
We trim the memory window, cap the tool results, and use prompt caching, so the input tokens per reply drop.
// how it works
The steps we run.
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Read the cost logs
We read 14 days of AI cost logs and map the token waste on your WhatsApp bot.
Output: A token-waste map and an ordered fix list with an estimated saving.Install the Jev filter
We install Jev to score each incoming message: reply, skip, flag for a human, or exclude from follow-up and ads.
Output: A message that needs no reply no longer reaches the chat model.Switch model, trim context
We switch the chat model to GPT-6 Luna, trim the memory window, and cap the tool results.
Output: Input tokens per reply drop, with a fallback model on a refused request.Retest and hand over
We retest live chats on the bot copy, install the cost page, and write the rollback SOP.
Output: The bot moves to production with a 1-command rollback and a written SOP.// what you get
A clear scope. Useful handover.
We filter messages with JevJevA small AI model from TypeSafe that decides what happens to each chat: reply, skip, flag for the team, or remove from follow-up. Jev writes no replies.How Jev picks the chats to answer, move the chat model, trim the context, then retest before we switch your bot.
- Read 14 days of cost logs and map the waste
- A JevJevA small AI model from TypeSafe that decides what happens to each chat: reply, skip, flag for the team, or remove from follow-up. Jev writes no replies.How Jev picks the chats to answer filter and a move to a cheaper chat model
- Trimmed context, a live-chat retest, and rollback
- A daily AI cost page and handover with an SOP
The result: 1 optimized WhatsApp bot, a daily AI cost page, retest results, and a rollback SOP.
// price and inclusions
What the price covers.
| Package | Price | Scope | When to pick |
|---|---|---|---|
| Optimization | IDR 6.9M, fixed price | 1–2 weeks · 1 bot, 1 WhatsApp number · read 14 days of cost logs · Jev filter · chat-model switch · trimmed context and tools · live-chat retest · cost page · rollback · SOP | Pick this when 1 WhatsApp bot already runs, and its AI cost rises fast. |
| Custom | From IDR 17M, final price after review | 3–6 weeks · more than 1 bot or more than 1 channel · CRM integration · lead tagging and ad-audience exclusion | Pick this when you run more than 1 bot or channel, or need CRM integration. |
| Included | Not included | Billed apart |
|---|---|---|
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Ground rules
- Revision: 1 round of fixes within 7 working days after handover, for the same scope.
- Schedule: duration counts from complete 14-day cost logs and bot-copy access. Cancel before work starts at no cost.
- Ownership: the prompts, the configuration, and the scripts are yours. We remove our access when the 7 working day fix window ends.
- Warranty limit: we guarantee that the agreed tests pass and the cost per reply is measurable, not a specific saving figure.
What we guarantee
- We answer your message within 24 hours on a working day.
- Accounts, code, and data stay in your name from day 1.
- Every handover includes a test report or written notes.
- No renewal fee to Rama Digital. You pay domain, hosting, and third-party subscriptions to the vendor directly.
- A fixed price on this page is the price we invoice. A "From" price becomes fixed in the written quotation you approve.
// is this for you
Good fit for
- Your WhatsApp chatbot already runs, and its daily AI cost rises fast.
- You want the AI cost per reply, not only last month’s total bill.
- You can share 14 days of cost logs and access to a bot copy for a retest.
Not a fit for
- You have no chatbot yet and want an agent installed first. Choose AI Agent Ops Install.
- You want a full agentic CRM built from 0, not only a lower cost. Choose OS Module: CRM.
What you prepare
- The last 14 days of AI cost logs.
- Access to a bot copy that is not connected to WhatsApp, for a retest.
- The WhatsApp number and the chat model your team runs today.
What the price excludes
- Model API fees, the Jev key, the WhatsApp API or BSP, and hosting.
- Monthly management after handover.
How it differs: AI Agent Ops Install installs a new agent, while Chatbot AI Cost Optimization Service lowers the cost of a bot that already runs.
// how this differs
Compare with other services.
| Chatbot AI Cost Optimization Service | AI Agent Ops Install | OS Module: CRM | |
|---|---|---|---|
| Duration | 1–6 weeks | 1–2 weeks | 4–8 weeks |
| Price | IDR 6.9M; Custom from IDR 17M | IDR 7.5–25M, final price after review | From IDR 25M, final price after review |
| Result | The same WhatsApp bot, with a lower and visible daily AI cost | An installed agent with access rights, an audit log, and an SOP | A CRM agent with a pipeline, follow-up, and invoices |
| When to pick | Your WhatsApp bot already runs, but its AI cost rises fast | You have no agent yet, or the agent needs installing and hardening | You want a full agentic CRM built from 0, not only a lower cost |
// evidence and sources
Evidence we checked.
The openai/gpt-6-luna price on OpenRouter, as of 25 September 2026, is USD 0.10 per 1M input tokens, USD 0.50 per 1M output tokens, and USD 0.01 per 1M cached tokens, with a fallback model on a refused request.
OpenRouter, Model openai/gpt-6-lunaRead 25 September 2026The TypeSafe System One API reference sets the Jev price at USD 0.042 per 1M input tokens, with free output tokens, to score each incoming message before the chat model replies.
TypeSafe, System One API ReferenceRead 25 September 2026
- WhatsApp Chats Go Up, AI Cost Goes Up: How Jev Picks the Chats to Answer, Skip, and Flag
- Agentic CRM vs a Plain AI Chatbot: What Is the Difference for a Business? (ID)
- GPT-5.6 Sol, Terra, Luna: AI Is Now More Than the Smartest Model (ID)
- The Hermes Agent 0.19.0 Bug That Could Leave Token and Cost Logging at Zero (ID)
Owner: Rama Digital team · Updated 25 September 2026
// definitions
Terms we use.
- Jev
- Jev is the TypeSafe System One decision model that scores each incoming WhatsApp message: reply, skip, flag for a human, or exclude from follow-up and ads.
- GPT-6 Luna
- GPT-6 Luna is the low-cost chat model we run through OpenRouter to answer a message that passes the Jev filter, with a fallback model on a refusal.
- Context trimming
- Context trimming means capping the memory window and the tool results resent to the model on every chat turn, so the input tokens drop.
- Cost per reply
- Cost per reply is the AI model cost divided by the number of replies on 1 day. This number is more exact than a monthly total for spotting waste.
FAQ
How much does chatbot AI optimization cost, and what does it include?
The Optimization package, IDR 6.9M, covers 1 bot and 1 WhatsApp number: 14 days of cost logs, a Jev filter, a chat-model switch, trimmed context and tools, a live-chat retest, a daily cost page, and a 1-command rollback. It finishes in 1–2 weeks. Custom starts at IDR 17M for more than 1 bot or channel, with CRM integration, priced after a scope review.
Does my bot's reply quality drop after this optimization?
No. We retest live chats on a bot copy that is not connected to WhatsApp, before the production server switches. In 1 test, a model switch alone made the bot escalate to an admin 27 times out of 35 turns; a rule set cut that to 0 or 1 time. That retest is mandatory before the switch, not optional, so we do not hand over a bot that fails more often.
Can the Jev filter miss a customer who is ready to buy?
Jev flags a message that asks for an admin, complains, or signals readiness to buy for a human to read, not for an automatic reply that gets ignored. A message that asks to stop or is already closed gets excluded from follow-up and ads, not deleted. Your team still sees every flagged message. We retest this tagging rule on live chats before the production server switches to the new setup.
What is Jev, and what does it cost?
Jev is the TypeSafe System One decision model that scores each incoming message before the chat model replies: reply, skip, flag for a human, or exclude from follow-up and ads. Jev costs USD 0.042 per 1M input tokens, with free output tokens. On our own chatbot, Wulan, Jev costs about USD 0.27 per 30 days, far below the main chat model.
Why do you switch the chat model to GPT-6 Luna?
GPT-6 Luna through OpenRouter costs USD 0.10 per 1M input tokens, USD 0.50 per 1M output tokens, and USD 0.01 per 1M cached tokens, with a fallback model on a refused request. That price beats the main chat model that a WhatsApp bot often runs with no filter. We pick a different model when your scope needs a different capability, and we write the reason into the quotation.
Do I have to switch my chatbot platform, Flowise, or n8n?
No. We install the Jev filter, the new chat model, and context trimming on the bot you already run, including Flowise, n8n, or another platform. Your WhatsApp number and workflow stay the same. When your platform does not support one step, we check another path before we write the offer, and we state that limit in writing before work starts.
How long until the Optimization package pays for itself?
For 1 example client, the AI cost fell from about USD 806 per month to about USD 30 per month, a saving of about USD 776 per month. At that saving rate, the Optimization package price, IDR 6.9M, pays back in about 3 weeks. Results vary by business, depending on your AI reply volume and your own customer message pattern.
How is this different from OS Module: CRM?
Chatbot AI Cost Optimization Service lowers the cost of a bot that already runs, with no workflow change and no new feature. OS Module: CRM builds an agentic CRM from 0, with a pipeline, follow-up, scoring, invoices, and quotations, from IDR 25M. Pick this service when your bot already works but costs too much. Pick OS Module: CRM when you want a new, fuller CRM system.
// next step
Discuss your chatbot costs.
Send 14 days of AI cost logs and your bot WhatsApp number. We reply with a token-waste map and a package price within 24 working hours.
