The AI consultancy of Saka One

Your team, multiplied.

> AI that

Keppa helps businesses figure out what AI can actually do for them, then builds it. Practical systems where your people stay behind the wheel and AI powers the engine.

The Gap

The tools are everywhere.
The results are not.

Every business owner has heard the pitch by now. Most have tried something. Very few have anything to show for it.

Here is what almost nobody says out loud: the failure is rarely the technology. AI success is roughly 70% people and process, 20% data and technology, and only 10% the algorithm (BCG). Most businesses buy the 10% and skip the 70%.

That missing 70% is the execution layer. It is choosing the right use case, redesigning the work around it, connecting the systems, training the team, and putting humans at the decision points.

That layer is what Keppa builds.

95%
of enterprise AI pilots deliver no measurable returnMIT, 2025
42%
of companies abandoned most of their AI initiatives in 2025, up from 17% the year beforeS&P Global, 2025
76 / 14
76% of small businesses use AI, but only 14% have it working in core operationsGoldman Sachs, 2026
62%
of non-adopters say the blocker is simple: they do not know where to beginService Direct, 2025
Businesses that bring in outside implementation help succeed about twice as often as those that go it alone (MIT, 2025). The model is not the hard part. The work around it is.
The Keppa View

We do not build AI to replace people.
We build systems that make small teams perform like big ones.

01 / FORCE

Force multiplication, not replacement

The companies getting the best returns from AI use it to amplify their people, not cut them (Gartner, 2026). We design every system to make your existing team faster, sharper, and harder to compete with.

02 / JUDGMENT

Humans stay behind the wheel

Every system we build has human judgment at the decision points. AI handles the volume, the speed, and the repetition; your people handle the calls that matter.

03 / LAYERS

Layered systems that compound

One tool saves an hour. Layered systems, where AI agents, automations, and people each do what they do best, change how the whole business runs. We build the layers and the handoffs between them.

04 / LEAN

Lean by design

The goal is not more software. It is a business that produces more with the team you already have, fewer dropped balls, less rework, and owners who get their evenings back.

What We Build

Three lanes, one principle

AI does the repetitive moves. Your people make the judgment calls.

Lane 01 / Voice AI

AI that answers, schedules, and hands off to a human with full context

Calls stop slipping. Your front desk stops drowning. Every caller gets answered, every time.

  • Intake that captures who is calling, why, and what they need, on every call
  • Scheduling and callback coordination that runs without anyone watching it
  • Warm handoffs: before your staff picks up, they already know who it is and what it is about
This is not theoretical. The samples on the right are real calls from working deployments.

Booking a repair appointment

Live sample / scheduling
0:001:50

Escalating an uncertain caller

Live sample / escalation to human
0:001:08
Lane 02 / Orchestration

Automated workflows that connect your tools, your AI agents, and your people

Your phone, CRM, calendar, and inbox start acting like one machine instead of four silos.

  • AI agents that draft follow-ups, log activity, and move records so nothing falls through
  • Routing logic that sends routine work to automation and judgment calls to staff
  • Connected systems with human review points wired in from day one
Properly embedded AI delivers measured gains: 14% more customer issues resolved per hour, and 34% more for newer staff (NBER). The repetition goes to the machine. The thinking stays with your team.
Calls INBOUND Leads FORMS / EMAIL Busywork REPETITIVE AI Layer AGENTS + RULES CRM AUTO-LOGGED Calendar BOOKED Human JUDGMENT
Lane 03 / Build

End-to-end design and build of custom AI-powered systems

From diagnosis to working software. We scope it, design it, ship it, and refine it with your team until it produces.

  • Custom pipelines that turn raw inputs, like audio, documents, and data, into finished output
  • Dashboards that show owners and managers what is actually happening
  • Full builds with training, handoffs, and human review points included
The systems in the case studies below were designed, developed, and deployed by Keppa, each with human review wired into the workflow.

Raw input

Audio, documents, data, calls

AI processing

Transcribe, extract, structure, draft

Human review

Your experts approve before anything ships

Finished output

Training content, media, dashboards, action

0%
of enterprise AI pilots show no measurable return
MIT, 2025
0x
the success rate when businesses bring in outside implementation help
MIT, 2025
+0%
productivity gain for newer staff when AI is built into the workflow
NBER
0%
of AI success is people and process, not the algorithm
BCG
Built and Running

Three working systems, three different industries

Names withheld, results real.

Sales Performance Training

Field audio into structured training, at scale

ChallengeA sales training firm had hours of field audio full of coaching gold, and no scalable way to turn it into training. Every insight depended on someone manually listening, extracting, and writing.
What was builtAn AI content and reinforcement system that transcribes recordings, extracts the teachable moments, and packages them into reinforcement content and manager coaching workflows. What took days of manual listening now happens in hours.
Trainers review and approve every piece before it reaches the field. The AI does the assembly. The experts keep the judgment.
Education / Student Opportunity

An AI coaching layer with counselors at every step

ChallengeA student opportunity platform needed to help students develop strong scholarship applications at scale, without losing the personal guidance that makes the difference.
What was builtAn AI coaching layer that walks students through developing their applications, tuned to where each student is in the process. Counselor dashboards show progress across every student, flagging who needs attention and where.
Counselors review at every step. The AI extends their reach to more students; it never replaces their eyes on a single application.
Faith Organization

Weekly audio into a full content pipeline

ChallengeA faith organization produced rich weekly teaching that reached only the people in the room. Turning each week's audio into shareable media was hours of manual work nobody had.
What was builtAn automated content pipeline that takes the weekly audio and produces transcripts, a podcast-ready episode, and distribution-ready media for every channel. What used to consume a volunteer's week now runs as a repeatable system.
The team reviews and approves everything before it publishes. The message stays in human hands; the production work runs on the machine.
How an Engagement Works

Plain process, no mystery

Four steps from "what could AI do for us" to a system that produces.

STEP 01Discover

We sit down with you and map your business: where time goes, where work piles up, where calls and leads slip. Then we show you specifically what AI can and cannot do for you. No jargon, no pitch deck.

STEP 02Design

We design the layered system around how your business actually runs. Which work goes to AI, which automations connect your tools, and where your people make the calls. You see the whole blueprint before anything gets built.

STEP 03Implement

We build it and roll it out with your team, not around them. Training, clear handoffs, and human review points are part of the build, because a system your team trusts is the only kind that works.

STEP 04Refine

We watch it run, measure what it produces, and tune it until the gains are real. Systems improve with feedback. So does ours.

Diagnostic Example

One place the leak shows up: missed calls

Diagnosis starts with numbers, not opinions. If your business lives on inbound calls, repair shops, trades, local services, run your numbers below. Most owners are off by a lot, in the wrong direction.

Example Monthly Leak
$11,250/mo
Diagnostic Example

A modest scenario: 20 calls a day, 1 in 4 missed, 30% would have booked, $250 average ticket. That is before after-hours calls are counted.

Not your result yet. Run your numbers below.

Estimates only, based on inputs and typical conversion assumptions. Your diagnosis conversation replaces these numbers with your real ones.

What type of business are you?
This helps tailor the estimate to your industry.
Auto Repair Shop
Home Services
Health & Wellness
Other Service Business
How many calls do you receive daily?
A reasonable estimate is fine.
Daily inbound calls20
What % of calls go unanswered?
Include voicemail, failed transfers, and busy lines.
Unanswered rate25%
If you answered every call, what % would convert?
Your sales conversion rate for new calls.
Most (85%)
More than half (65%)
About half (45%)
Less than half (30%)
What's your average job or appointment value?
In dollars. Be as accurate as you can.
Do you have after-hours coverage?
This multiplies your leak when calls come in outside business hours.
Yes, have a system
Voicemail only
Nothing in place
Don't get after-hours calls
Your Estimated Monthly Revenue Leak
$0
(between $0 and $0)
0
Missed Calls/Month
0
Lost New Leads/Month
$0
Annual Revenue at Risk
This is an estimate, not a guarantee. The goal is to show the scale of the problem and whether a deeper review makes sense. This is one example of leak we find. Every business has its own version: unanswered leads, slow follow-up, hours of manual work that a system should be doing.
A discovery conversation finds yours
Tell us about your business and we will come back with specifics: where AI can multiply your team, what it would look like, and what it is not worth doing.
Start the Conversation
This calculator applies mainly to businesses that take customer calls. If that is not you, the discovery conversation below is the better starting point.
Get Started

Find out what AI can do for your business

A straightforward conversation, not a sales call. Tell us a little about your business and we will come back with specifics: where AI can multiply your team, what it would look like, and what it is not worth doing.

No obligation, no pressure, and no pitch for things you do not need. If AI is not the right move for your business yet, we will tell you that too.
This opens your email app with the request pre-filled, addressed to mike@keppasystems.com.