Prepared AI agents for real workflows and infrastructure — integrated with the systems you already run, governed by your rules, proven in 30 days, and owned by you.
Dandori prepares your AI the way a craftsman prepares before the first cut — intent aligned, dependencies mapped, the systems you already run connected, everything measured. So when it runs, it runs reliably. No multi-year program. No science experiment. One governed workflow, proven on your real operations in thirty days.
Managed AI delivery, tailored to how your operation actually runs.
Whatever the job — a recurring process, an end-to-end workflow, a manufacturing step, or a decision-heavy operation — we build a prepared AI agent to improve it, shaped around how your operation actually runs. Once it works, you own it. If the proof does not meet the written success criteria, you owe no build fee.
The easiest place to start is the work that's manual, repetitive, document-heavy, or decision-heavy. These business-workflow agents are a natural entry point — proven value in thirty days, before expanding into deeper, infrastructure-aware AI.
Prepares account research, CRM updates, meeting briefs, follow-up drafts, and opportunity summaries.
Outcome: less admin, better sales preparation.
Summarizes spend, flags exceptions, prepares variance explanations, and supports recurring reporting workflows.
Outcome: faster month-end and operating visibility.
Triages requests, finds relevant knowledge, drafts responses, and escalates based on rules and customer context.
Outcome: faster response and more consistent service.
Extracts, compares, summarizes, and routes contracts, policies, RFPs, reports, and operational documents.
Outcome: faster review without losing human control.
Turns emails, dashboards, documents, project updates, and operational signals into concise leadership-ready briefs.
Outcome: better decisions with less synthesis time.
Automates intake, summarization, policy checks, routing, status updates, and exception escalation.
Outcome: smoother operations and fewer dropped handoffs.
Other common starting points include policy-heavy back-office workflows, recurring reporting, vendor review, and operational intake.
Different jobs, one way of working — each prepared around the systems you already run and proven on your real work before you rely on it. Start with one; the groundwork carries into the next.
A structured proof, designed for speed and clarity — you always know what week you're in and what comes out of it. You bring one real workflow; we deliver one working proof. Pay after proof.
AI doesn't fail because the model is weak. It fails because the work was never prepared — the context, the rules, the order of steps. A tool gets dropped in, told to "figure it out," and quietly makes a mess, or does nothing at all.
Dandori prepares the work first — so the agent can run reliably, safely, and under your control. A craftsman doesn't rush to the cut; they measure, mark, and lay out every tool first. That discipline is exactly why we can promise thirty days.
That discipline has a shape — four cuts, run on every agent, no step skipped. The first two are the eight-tenths the proverb talks about.
Our agentic framework isn't tied to a single AI model — it routes each task to the right one, open-source where data must stay private, commercial frontier models only where the work needs them. The framework is what makes us quick; the craft is what makes it hold. Preparation done properly is dandori, and it's why our work holds when others' doesn't.
Many models, one framework — matched per task for cost, speed, and sensitivity. Open-source models keep private data secure and can run in your own environment; commercial models are used only where they earn their cost. You move at machine speed without a blank check or a data-exposure risk.
Frameworks can be licensed. Deep understanding of your systems, applied by people who have done the work for years, cannot. Preparation done properly, AI shaped into results you can actually trust — that's the part that can't be bought off a shelf, and it's ours.
And what we prepare keeps improving: every agent improves through a feedback loop, and we hold those improvements as durable, portable operating logic above any single model. So when a better model arrives, the workflow map, rules, context, approval model, and reusable configuration move with you — reusable company infrastructure that compounds, not disposable prompt work. Most vendors sell access to a model. Dandori builds the operating layer that improves and lasts.
These are the outcomes a Dandori proof is built to deliver — the backlog cleared, the process that now runs the same way every time, and the audit trail that means it can be trusted in production. Written in the voice of the operators they're built for.
Two AI pilots that never left the lab — then one workflow scoped, integrated with the ERP, and in production in a month: governed, logged, and defensible to audit.
Scenario: industrial manufacturerMulti-plant operationThe first weeks spent understanding how the process actually runs, exceptions and all. By day thirty the agent handles it the way the best people would — with a clear reason behind every decision.
Scenario: distribution & logisticsNational footprintWhat earns board sign-off is ownership and control: no lock-in, no black box — the process documented and running under your governance, yours to keep if you ever walked away.
Scenario: financial services groupMulti-entity operationBook a working session — not a sales pitch. We'll identify the one workflow worth proving first, and show you exactly what thirty days would deliver.
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