Generic AI tools make you change how you work. We shape the implementation around your process, your data, and your team, then manage the details so it runs like it was always yours.
Built for operators at
We combine product design, AI engineering, integrations, deployment, and ongoing operations into one managed build.
We map how your business actually runs, then encode the repeatable work, context, policies, and edge cases into a private AI system.
Every interface, workflow, prompt, retrieval layer, and integration is designed around the way your team already gets work done.
We manage model selection, credits, rate limits, token budgets, and cost controls so your team buys outcomes instead of babysitting vendors.
import { generate } from 'desic';
app.post('/v1/run', async (req, res) => {
const out = await generate(req.body, {
workflow: 'client-intake'
});
res.json(out);
});Sensitive actions can include review queues, approvals, audit trails, and escalation paths that match your risk tolerance.
We deploy the system, watch it in production, roll out improvements, and keep the infrastructure healthy as usage grows.
Permissions, data boundaries, logs, and retention rules are configured around your business, not a generic SaaS workspace.
Five short questions to check whether custom, managed AI software fits the work in front of you. Takes about a minute.
Signal 01
Signal 02
Signal 03
We study your operations, systems, handoffs, and recurring decisions to identify where custom AI software can own a real business outcome.
Before a system is handed off to managed operation, we move fast through three prototyping phases - each one tightening the workflow against real operators and real data.
We translate the discovery scope into a clickable prototype that captures the operator path, screens, decisions, and AI moments before a single integration is wired.
We replace the sample state with real integrations, retrieval, and prompts so your team can run the prototype against actual records and edge cases.
We tighten the workflow into a launch candidate with approvals, observability, and the guardrails needed for the system to run under our managed service.
Move the inputs to estimate the monthly operating cost a managed AI build could reclaim from repetitive work.
How many people touch this workflow.
Estimated hours each person spends on repeatable work weekly.
Fully-loaded cost per team member.
Monthly impact
This workflow is costing roughly ~520 hours/month in manual effort - about $31,176/month in fully-loaded time.
Hours software could own
~416
per month
Potential monthly return
$24,941
per month
A well-scoped desic build could move about 80% of that repeatable work into managed software - roughly $24,941/monthin capacity.
Evaluate readinessGive us the workflow, systems, and outcome. We save your progress as you go and turn the finished scope into a proposal the team can review.
Step 01
A few minutes of context about the workflow, systems, and outcomes you have in mind.
Step 02
We turn your scope into a structured starter proposal — summary, build outline, and managed plan.
Step 03
Use it as a brief, send it to your team, or hand it back to us to firm up scope and pricing.
Automate reporting, reconciliation, document review, and compliance workflows with audit-ready trails.
Run merchandising, refund triage, inventory workflows, and customer support with your catalog and policies built in.
Support intake, admin follow-up, prior auth, and operational queues with permissioned data boundaries.
Onboard customers, classify tickets, prep renewals, and automate account work with deep product context.
Qualify leads, schedule tours, draft documents, and coordinate portfolio operations across teams.
Route exceptions, reconcile invoices, forecast demand, and coordinate carrier communications in one managed system.
Draft, review, summarize, and route standard legal work with citations and approval checkpoints.
Personalize tutoring, grading support, staff workflows, and student routing around your institution's policies.
Buy a business result, not another tool your team has to configure and maintain.
Move repetitive, outsourced, or abandoned work into reliable software that runs every day.
Use your systems, documents, rules, customer data, and judgement patterns as the product foundation.
Deployment, model credits, infrastructure, monitoring, and maintenance stay under one roof.
Connect the tools that matter and design the missing interface when off-the-shelf software falls short.
Permissions, approvals, logs, and escalation paths are designed around the risk of each workflow.
desic builds the software, runs the AI stack, and keeps improving the workflow after launch.
Generic options
desic
Operators use desic to replace repeatable work with custom AI systems that are maintained, monitored, and improved every month.
“desic did not give us another dashboard. They built the intake system our team always wished existed and now run it like part of our operations.”
Lauren Meyers
COO, Drivana
62%
less manual review
“The value was not just the build. They handle the model spend, infrastructure, monitoring, and improvements so our operators can stay focused.”
Marcus Lee
Founder, Coursa
3.4x
throughput increase
“They understood our edge cases faster than a SaaS vendor ever could. The software feels like it was designed by someone inside the business.”
Priya Shah
Head of Operations, BitBite
9 weeks
to launch
0 weeks
average first launch
0+
systems and data sources connected
Always-on
managed monitoring and maintenance
Each build starts with a custom-quoted implementation fee. Monthly plans cover managed oversight, maintenance, deployment, AI usage, and infrastructure - with 20% off when billed yearly.
For one focused custom AI system tied to a clear operating outcome.
Base implementation: custom quote
For teams turning multiple business processes into managed AI software.
Base implementation: custom quote
Have a workflow in mind? Reach out and we'll help scope the implementation, monthly operation, and expected return.
We build custom AI software around a specific business workflow: internal apps, AI-powered back-office systems, customer-facing assistants, review queues, data pipelines, and the integrations needed to make them useful in production.
The base implementation is custom-quoted after discovery because scope depends on workflow complexity, integrations, data readiness, approvals, and deployment needs. The monthly subscription starts after launch and covers operation, maintenance, AI usage oversight, and improvement.
We manage deployment, infrastructure, AI credits, model usage, monitoring, maintenance, fixes, support, and ongoing optimization. Your team gets the business outcome without having to run the AI stack.
Focused systems usually launch in four to eight weeks after discovery. More complex workflows with multiple systems, compliance reviews, or custom interfaces may be staged into a roadmap.
We design each implementation around least-privilege access, encryption, audit trails, approval flows, and data retention rules. We also document the model providers, subprocessors, and infrastructure used for your build.
Yes. We connect to the systems that matter - CRMs, ticketing tools, databases, document stores, Slack, email, internal APIs, and custom software - then build the workflow layer around them.
desic builds custom AI software for the way your business actually operates, then manages the stack so it keeps delivering every month.