AI
ServicesUse case, no client resultAnswer every inbound call, in Hindi, Marathi or English.
Calls arrive when your team is busy, at lunch or gone for the day. Callers who speak Hindi or Marathi wait for the one person who can help them. Some hang up and call someone else. A voice agent answers every call, in the caller's language, and hands the hard ones to a person.
One inbound callSchematic
Call comes inAny hour
Answered in the caller's language
HindiMarathiEnglish
Agent handles itLogged, with a transcript
A person takes overWith the summary in front of them
4.0×Target return in 12 months
Week 1Fixed-fee audit
6 weeksTo the first live result
3Senior people on the work
TypeUse case: what we build, not a client story
ForService businesses that take bookings, enquiries and status calls by phone
EngagementWeek 1 audit, then build in about six weeks, fixed scope, fixed fee
Runs onClaude, your phone line, and the systems your team already uses
Before and after
From missed calls to answered ones.
Before
- Calls ring out at lunch, after hours and at peak times
- Hindi and Marathi callers wait for one particular person
- The same five questions take up most of the day
- No record of what was asked, or what was promised
After
- Every call answered, at any hour
- Each caller answered in their own language
- Routine calls handled by the agent, end to end
- Every call logged, with a transcript and an outcome
The problem
The phone rings and nobody picks up.
Most service businesses still run on the phone. A booking, a change, a question about a bill. The calls come in waves, and the team that answers them also has other work. When the line is busy the caller does not leave a message. They try the next name on the list.
What was broken
- Calls cluster in peaks, so the line is busy exactly when demand is highest.
- After hours, every call goes to voicemail or rings out.
- Only some of your team speak the caller's language, so calls queue for them.
- Most calls are routine: a booking, a time, a status, a price. They still need a person.
- Nothing is written down, so a manager cannot see what callers ask for.
You might be here if
- You know some callers give up before anyone answers.
- Your front desk spends its day on the same few questions.
- Callers ask for someone who speaks Marathi or Hindi.
- You cannot say how many calls came in last week, or why.
Why it mattered. A missed call is often a missed booking. It does not show up in any report, so nobody owns the loss.
The approach
Start with your calls, not with the agent.
We listen first. In Week 1 we sort a sample of your real calls into what they were about, which language they were in, and what a good answer looked like. That tells us which calls an agent can finish and which must reach a person. Then we build the agent on Claude for those calls only, in your words and your languages. Anything outside that list goes to a person, every time.
What comes in
Inbound callsAny hour, any queue
Three languagesHindi, Marathi, English
woodfrog method
Sort real callsTopic, language, good answer
Agree the handoff rulesWhat always goes to a person
Build on ClaudeIn your words, tested on your calls
What changes
Routine calls finished
Hard calls handed over
Every call logged
Every call answered
Deliberately not doneHiding the agent from callers, or trapping them in a menu with no way to a person
The solution
An agent that answers, and knows when to hand over.
What we build
- A voice agent on Claude that answers your line in Hindi, Marathi or English, and switches when the caller does.
- Answers drawn from your own information: services, prices, hours, booking slots. Nothing it has to guess.
- A live handoff: when a call needs a person, it goes to one, with a short summary on their screen so the caller does not repeat themselves.
- Bookings, changes and status checks written straight into the system your team already uses.
- A transcript and an outcome for every call, so you can see what callers ask for and when.
- A daily review list of calls a person should look at, and a simple way to change what the agent says.
woodfrog is an Anthropic Certified Services Partner, and the agent runs on Claude. Callers are told they are speaking to an assistant, and any caller can ask for a person at any point.
How it would runThe agent goes live on one queue or one set of hours first, then widens. Operate is open-ended and drawn at one week only to fit.
Wk 1Wk 2Wk 3Wk 4Wk 5Wk 6
Audit
Sort real calls
Build
Agent, handoff, logging
Test on your calls
Every language
Operate
Ongoing
Wk 1Wk 2Wk 3Wk 4Wk 5Wk 6
Audit
Sort real calls
Build
Agent, handoff, logging
Test on your calls
Every language
Operate
Ongoing
The impact
What we would measure.
Where every call goesThree outcomes. None of them is a missed call.
Schematic, no valuesEvery inbound callDay, night, weekend, peak hour
Answered by the agentBookings, status, hours, simple questions
Handed to a personWith a summary, so nobody asks twice
Callback bookedWhen nobody is free, with a time the caller chose
The split depends on your calls. We measure it in Week 1, before anything is built.
What we would measure on a real engagementWhat we would measure
Calls answeredAgainst all inbound calls, by hour and by day
Calls finished by the agentBy topic and by language
Calls handed to a personAnd how long the caller waited
Bookings and requests takenWritten into your own system
Return on the workTarget: at least 4.0× within 12 months, measured on your own numbers
Answer every call you get.A short call, or record a message. A person replies within one business day.
