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KAIDIS

Forward-deployed AI engineering

AI you can measure.
Not AI for AI's sake.

KAIDIS engineers embed with your team, find the repetitive work costing you the most, and turn it into repeatable systems with people in control of the decisions that matter. The return is tracked from day one.

How work moves once we've deployed Each square is one task
Incoming workEnquiries, waybills, timesheetsRepeatableworkflowHandledautomaticallyHigh confidence,low riskHuman inthe loopUncertain orhigh stakesMeasured outcomeHours, cost, errors, revenue

Why we exist

Every AI project should start with a number.

Starts withA tool looking for a problemA costed task your team repeats every week
Success meansAn impressive demoA baseline that moved: hours, cost, errors or revenue
PeopleBrought in after something breaksReview points designed in from the start
When it gets hardAnother pilotEngineers working alongside your team, in your systems
AfterwardsA black boxDocumented workflows your team can run and repeat

The ROI test

Run the numbers before anyone writes code.

Pick one task your team repeats. Move the sliders. If the answer is “not worth it”, we'd rather you knew now.

6
12 hrs
R280
60%
20%

Share of the automated hours people still spend checking

R350 000

Build plus running costs. Your assumption, not a KAIDIS quote

Estimated value per year

R464 486

Hours returned
1 659
Payback
9.0 mo
Year-one ROI
33%
Strong candidate

Pays back inside the first year. This is the kind of task we'd prioritise.

A rough estimate from your own inputs, assuming 48 working weeks a year. It is not a quote or a promised result. A real baseline comes from measuring the work.

Human in the loop

Automation where it's safe. People where it counts.

Good automation isn't all-or-nothing. Each decision gets a threshold, and anything below it goes to a person. Try moving the dial.

80%
Automatic
3
Human review
5

Set it too low and mistakes reach your customers. Set it too high and you've rebuilt the backlog. We tune this with your team using live results. Some decisions stay with a person whatever the score.

Sample tasks and scores, for illustration.

  • Waybill details match the bookingAutomatic
  • Enquiry states budget and areaAutomatic
  • Time entry matches an open matterAutomatic
  • Invoice differs slightly from the quoteHuman review
  • Buyer asks about bond pre-approvalHuman review
  • Proof of delivery signature is unclearHuman review
  • Refund above the policy limitAlways a person
  • Client disputes a billed amountAlways a person

How an engagement runs

The flight plan.

One workflow first, proven against a baseline. Then the structure repeats, so the second workflow is easier than the first.

Explore our services
  1. Stage 01 of 05

    Embed

    We sit with the people doing the work and map how it really happens, including the workarounds nobody wrote down.

    You get: Task map

  2. Stage 02 of 05

    Baseline

    We cost each task in hours, money and errors, then rank them by likely return. If something won't pay back, we say so.

    You get: Ranked ROI case

  3. Stage 03 of 05

    Build

    We ship one workflow into your real systems, with review points and escalation rules designed in from the start.

    You get: Working workflow in production

  4. Stage 04 of 05

    Prove

    We compare live results against the baseline and tune thresholds with your team until the numbers hold.

    You get: Results against baseline

  5. Stage 05 of 05

    Repeat

    We document, train and hand over, so your team can run it and the same structure can carry the next workflow.

    You get: Repeatable playbook

Bring us your most boring process.

We'll tell you honestly whether it's worth automating, and what it should return.