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Creative Ground AI

Someone always picks up.

A voice and a keyboard on the front line, around the clock.

Agents answer, qualify, book and chase by phone, text or chat, at any hour. Anything unusual goes to a person on your team, live.

78%

of consumers have abandoned a business after a call went unanswered.

CallRail, 2025 · survey of 1,000 U.S. consumers
58%

of callers who reach no one leave no voicemail at all.

CallRail, 2025 · same survey

Four agents we build most often.

Front office · Any business that takes calls

AI Receptionist

Answers on phone, text and web chat
Does
  • Answers as your company, first ring
  • Qualifies the job
  • Books into your real calendar
Hands back when
A caller is upset, urgent or outside your rules.
Never
Quotes a price your team hasn't approved.

TodayCalls ring out at lunch, after five and when lines are busy.

Sales · Businesses with a customer list

Reactivation agent

Reaches out by text, email and voice
Does
  • Picks past customers by recency and spend
  • Writes about what they actually bought
  • Books the ones who reply
Hands back when
A customer has a complaint or a special request.
Never
Contacts anyone who opted out.

TodayThousands of past customers nobody has time to call.

Hiring · Trades and multi-site teams

Applicant screener

Responds by text and email
Does
  • Contacts every applicant within minutes
  • Asks your screening questions
  • Books interviews for those who pass
Hands back when
An answer is borderline.
Never
Makes a hiring decision.

TodayCallbacks take days, and good applicants take other jobs.

Finance · B2B services and contractors

Collections agent

Follows up by email, text and voice
Does
  • Polite at 7 days, firmer at 30, formal at 60
  • A payment link in every message
  • Tone matched to payment history
Hands back when
An invoice is disputed.
Never
Argues with a customer.

TodayChasing receivables only happens when cash gets tight.

Work smarter, not harder

One evening at the phones. Illustrative evening

Time
The harder way
The smarter way
4:52 pm
All lines busy. The fourth caller hangs up.
Answered, qualified and booked for Thursday.
6:34 pm
Office closed. The call rings out.
Booked into your calendar, confirmation texted.
9:48 pm
An urgent call goes to voicemail.
Passed to whoever is on call, live.
7:30 am
Someone sorts voicemails and guesses who to call.
A summary is waiting: booked, pending, needs a person.

Run your own numbers.

Every figure comes from what you enter. Where something can't be priced honestly from outside, we say so.

How we build solutions

One team, from the first conversation to everyday use.

Every engagement runs through the same three stages, with specialists at each one. The goal never changes: a solution that pays for itself, because your team actually uses it.

01

Understand

Find the problem worth solving.

AI Solutions ArchitectStrategy and solution designAI Business Strategy & AnalyticsData study and baseline
You getA baseline and a plan with expected outcomes, before anything is built.
02

Build lean

The right tool, not the flashiest one.

AI & Software EngineersOver 4 years of experience building AI solutions
You getA system whose running costs don't eat into the return.
03

Make it stick

Adoption is where the return comes from.

Director of AI Business ImplementationTraining and adoption
You getTraining for everyone who'll use it, plus video walkthroughs and reference materials.
Customer success runs through every stageFrom the first data study to the training materials your team keeps.
Case study

One document workflow, 60% less manual effort.

AI Agent · Document workflow

Built by our AI engineer, Shubham Limbachiya. Client details anonymized.

Every incoming request needed someone to read the inputs, write a tailored document and format it by hand. Each one took 15 to 25 minutes, quality depended on who wrote it, and the only way to handle more volume was to hire.

Harder way
15–25 minutes of reading, drafting and formatting, per request, by hand.
Smarter way
The agent drafts and checks each one. Staff step in only on the unclear ones.
60%less manual effort, in live production
3 wksfrom prototype to production, testing included
0bad outputs sent unnoticed. Every one caught and logged
  1. 01Checks every request on arrival. Incomplete or malformed inputs are turned away before any drafting starts.
  2. 02Pulls the right context. Each draft is grounded in the client's own live data, not the model's guesses.
  3. 03Drafts to the house standard. Claude writes within set rules for format and tone. Anything unclear goes to a person.
  4. 04Checks before anything ships. Every output is validated, and anything off-pattern is flagged instead of sent.

AWS Bedrock · Anthropic Claude · Python · FastAPI

The result: staff time moved to work that needs judgment, and request volume can grow without adding headcount.

Questions about AI Agents.

Will callers know it's AI?

It introduces itself as your business's assistant and says so if asked. Disclosures and recording follow your state's rules.

What if it doesn't know the answer?

It says so, takes the details, and hands off to a person instead of guessing.

Does it replace my front desk?

No. It covers the calls your team can't take: after hours, at lunch, and when every line is busy.

Not sure which of the fifteen is yours?

That's what the audit is for. Five minutes, no cost, and a severity read across all eight leak categories before we ever speak.