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CLADENS

Capabilities

What we build — once we know your lever.

These five categories cover virtually every place AI earns its keep in mid-market operations. They're deliberately few, so they're easy to hold in your head — and broad, because each one spans a lot of ground. Most real solutions combine two or three, pointed at a single lever. We don't lead with these; we lead with your objective, and arrive here once we know what we're moving.

Capability 01

Knowledge Intelligence

Make your organization's knowledge answer questions in plain language.

The friction it solves
The answer exists — in a manual, an SOP, a past project, someone's head — but finding it takes a person, a wait, and an interruption. New hires take months to get productive. Experts spend their day answering the same questions.
What it delivers
Employees ask in plain language and get accurate answers, grounded in your own source documents, with citations they can check. The knowledge stops walking out the door when people do.
Where it shows up (examples, not a menu)
a service tech finding the right repair procedure on the floor; a sales engineer pulling the right spec mid-quote; a new planner getting up to speed without shadowing for a quarter.
Typical change depth
ShallowMediumDeep

shallow to medium — the work stays the same; the lookup gets instant.

For technical leaders

retrieval-augmented generation over your document corpus, hybrid semantic + keyword search, answer grounding with citations, access controls that respect your existing permissions.

Capability 02

Document Intelligence

Turn the paperwork into structured data, automatically.

The friction it solves
People retype information from PDFs, invoices, contracts, forms, and specs into systems. It's slow, it's expensive, and it's where errors creep in.
What it delivers
Documents are read, the right fields extracted and validated, and the data lands in your systems — with a human reviewing exceptions, not every line.
Where it shows up
supplier invoices into the ERP; incoming orders off PDFs and emails; contract terms pulled for review; quality or compliance certificates checked against requirements.
Typical change depth
ShallowMediumDeep

shallow to medium.

For technical leaders

layout-aware extraction, OCR where needed, schema-constrained structured output, validation rules and confidence thresholds that route low-confidence items to a human.

Capability 03

Workflow Intelligence

Run a process end to end — including the messy judgment in the middle.

The friction it solves
Plenty of your processes are part rules, part judgment. Pure automation handles the rules and stalls on the judgment; people end up babysitting the hand-offs.
What it delivers
The whole process runs — deterministic automation for the predictable steps, AI for the judgment calls, and a human in the loop exactly where it matters. Routine flows through; exceptions surface to a person.
Where it shows up
quote-to-order; order management and exception handling; claims and warranty triage; procurement and approvals.
Typical change depth
ShallowMediumDeep

medium to deep — this is where roles and hand-offs often change, which is why some of these route through Design first.

For technical leaders

workflow orchestration with callable AI nodes, agentic patterns where the risk profile supports them, launch autonomy set deliberately below the eventual target and ramped as confidence grows.

Capability 04

Decision Intelligence

Turn your data into forecasts, scores, and recommendations you can act on.

The friction it solves
Important calls — what to stock, what to prioritize, what's about to fail, who to chase — get made on gut and gut alone, because the data is there but the signal isn't.
What it delivers
Predictions and recommendations grounded in your history and current state, surfaced where the decision actually gets made, with the confidence to know when to trust them.
Where it shows up
demand and spares forecasting; predictive maintenance; quality anomaly detection; lead and order prioritization.
Typical change depth
ShallowMediumDeep

medium.

For technical leaders

classical ML for forecasting, classification, and anomaly detection; feature engineering on your operational data; monitoring for drift and accuracy so the model stays honest over time.

Capability 05

AI Governance & Operations

Keep deployed AI accurate, cost-controlled, and audit-ready.

The friction it solves
AI that works on launch day quietly degrades — costs creep, accuracy drifts, nobody owns it, and there's no record of what it did. That's how a win becomes a liability.
What it delivers
The instrumentation and discipline that keep AI healthy in production: cost and usage monitoring, accuracy and drift checks, refresh cycles, audit trails, and clear ownership. This is cross-cutting — it underpins everything else — and it's the core of how we Run what we build.
Where it shows up
every system we deploy; it's also the home of our Monitor phase.
Typical change depth Cross-cutting
ShallowMediumDeep

cross-cutting; always part of the build.

For technical leaders

LLMOps and MLOps, evaluation harnesses, telemetry and cost dashboards, drift and quality alerting, governance documentation.

How it grows

Start small. Grow as it earns trust.

A capability doesn't have to arrive function-wide on day one — and it usually shouldn't. The same capability widens in scope as it proves itself, which is how you build confidence without betting the business:

  1. 01

    Personal assistant

    It helps one person work faster — a single planner, a single rep.

  2. 02

    Team assistant

    It works across a team's documents and processes — the whole service desk, the planning group.

  3. 03

    Function assistant

    It carries a function's knowledge and workflow — all of after-sales, all of procurement.

We usually start at the scope your readiness supports, prove it, then widen. Every step holds before the next one starts.

Proof of depth

The real work is in the combination.

A single capability rarely moves a lever on its own. Speeding up quote-to-order might pair Knowledge Intelligence (find the right spec) with Workflow Intelligence (run the approval) and a touch of Document Intelligence (read the incoming RFQ). We design the combination aimed at your lever — which is exactly why we start from the value map, not from a product list.

Why we start from the value map

Which of these moves your objective? Let's find out.

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