Custom AI Solutions
A model trained on your history, not the industry average.
Off-the-shelf forecasting and scoring tools are built on somebody else's assumptions. When your seasonality, your exceptions, and your customer mix do not match, the predictions miss in exactly the cases that cost the most. We train on your data and hand you an evaluation your own team can read.
You're probably here because of one of these.
If none of them sound familiar, this may not be the right service for you and we would rather say so on the first call.
- Generic forecasting keeps missing your seasonal swings.
- Decisions that should be consistent depend on who is on shift.
- You have years of operational data and nothing is learning from it.
- A vendor model is a black box and nobody can tell you when to distrust it.
- Analysts spend their week producing a number rather than acting on it.
The four things that make it hold up.
Trained on your history
Your order book, your exceptions, your customers. Including the weird years, which is usually where the signal is.
Readable evaluation
Broken down by the dimensions your business already thinks in region, SKU class, customer tier not one headline accuracy number.
Stated limits
Written conditions under which the model should not be trusted, in the language your operations team uses.
Deployed, not delivered
It runs as a service with monitoring and scheduled retraining, rather than arriving as a notebook nobody can operate.
How the engagement actually runs.
Five steps, roughly six weeks to production. You see working software in week two, not a status deck.
- 01WEEK 1–2
Audit the data
Before promising anything we check what you actually have coverage, gaps, and how the exceptions were recorded. Sometimes the honest answer is that the data will not support the question.
- 02WEEK 2
Define the decision
Not the model, the decision it feeds. What changes when the number arrives, who acts on it, and what accuracy is actually good enough to be useful.
- 03WEEK 3–6
Baseline, then beat it
We start with the dumbest reasonable baseline and have to beat it measurably. Plenty of problems do not need a complex model, and we would rather find that out early.
- 04WEEK 6–8
Build the evaluation
A fixed holdout the model never trains on, error distribution rather than averages, and a dashboard your team can interpret without us.
- 05ONGOING
Deploy and monitor drift
Scheduled retraining, drift alerting, and a documented path for what happens when the world changes shape.
Everything, in your environment.
Not a demo account you lose access to. The system runs where you run things, and the documentation is yours.
- Trained model deployed as a monitored service
- Evaluation dashboard your team can read unaided
- Written statement of the model's limits
- Data pipeline with scheduled refresh
- Retraining runbook and drift alerting
What clients ask first.
Most engagements use more than one.
Workflow Automation
End-to-end automation across your CRM, ERP, and communication channels.
EXPLOREAI Chatbots & Assistants
Conversational agents for WhatsApp, web, and internal ops that resolve instantly.
EXPLOREPersonalized AI Marketing
Hyper-personalized campaigns, lead nurturing, and CRM sync at scale.
EXPLORETell us the workflow that costs you the most.
Thirty minutes, no pitch deck, no discovery fee. You leave knowing whether custom ai solutions is the right call including if it is not.