Stop automating tasks.Run full departments autonomously.
Not one step handed back to your team. The whole job, from the request coming in to the report going out, across the systems you already use. Your people handle only the exceptions.
If it misses
No outcome fee
Charged only when a run achieves its goal
Time to production
About four weeks
From first observation to production deployment
What you maintain
One core
One cognitive core, not a hundred brittle agents
Knowledge in.Brittle agents.Autonomy out.
Why AIOS
Built around your business.Departments, not tasks.AI-first companies win.
AIOS is AI built around your business. It runs whole departments from the inside, from start to finish. It’s not general software that only does half the job. It’s live in about four weeks, with no migration, on the systems you already use.
We don’t automate tasks. We run departments. An AI that answers email handles one step. AIOS handles the whole job: it takes the work in, does it, and reports back. Your finance team works like a much bigger team, operations gets through its backlog, and sales closes faster.
AI-first companies are going to outrun everyone else. AI does more than finish tasks faster. It clears the bottlenecks that slow the whole company down.
One cognitive coreEvery process. Every channel. One governed intelligence layer.
Most AI is built one agent at a time: a phone agent, a chat agent, one for invoices, another for claims. Each brings its own rules, tools, memory, and operating burden.
AIOS reverses that model. It captures what your people know once as governed, executable workflows in a shared cognitive core. Inbound and outbound phone calls and SMS messages, web chat, APIs, schedules, and external agents are controlled doors into the same processes, policies, connectors, customer memory, and evolving context.
We don't build brittle agents. We capture what your experts already know and put it to work. If you can explain how your company runs, AIOS can run it.
The operating systemfor autonomous operations.
How it fits together
One harness for the whole business
Capture what process documents miss
AIOS watches your experts work, records what they open, decide, and do, then asks why. It captures the judgment that makes the work repeatable.
Turn expertise into an approved workflow
Each session becomes a plain-language workflow: steps, systems, decisions, and reasoning. Nothing is hidden in a prompt. Your team reviews it before execution.
Run autonomously within your rules
Workflows trigger automatically and operate within the limits you set. Exceptions route to a person with the full case and a recommended action.
Deliver resolution on every channel
Use the same approved workflow to answer or place calls, send or receive SMS, and respond across chat, ChatGPT, and Claude. Customers get resolution without a transfer, callback, or status update.
Continue every conversation without restarting
Every interaction records decisions, commitments, preferences, and next steps. The next conversation starts with context, not repetition.
Evolve the software, not just the workflow
Every night, Nightshift reads the runs your business made that day, finds what is drifting or missing, and builds the fix: a repaired workflow, a new integration, a new tool. You wake up to improvements waiting for your yes.
Omnichannel AI without the agent sprawl
Teach one system how your company works.Then put that intelligence everywhere.
We learn the work, not a prompt
For example, take a loan team chasing the documents a borrower still owes after approval. They read the open items on the file, decide which ones the borrower has to send, hand the rest to a processor, text the borrower, and follow up the next day. AIOS captures those steps and the judgment between them as a flow that executes autonomously. No prompts. No code.
Step 01 / 04
Your rules stay in charge
Before AIOS changes anything on the loan file, the work pauses for an expert’s sign-off. The loan officer sees what has been done, what AIOS wants to do next, and the evidence behind it, then approves or sends it back.
Step 02 / 04
Automation leaves a record
Once approved, the same flow runs in the systems the team already uses. Every step, decision and result is kept with it, so six months later, when someone asks why a condition was cleared, the answer is already written down. Nobody reconstructs it from logs or memory.
Step 03 / 04
Now the customer can use it too
With one click, the same approved flow answers the borrower’s calls and texts, and places the follow-up call itself. It is not a second agent with a copied prompt. It is the same knowledge, rules and record, so the borrower gets an answer without a transfer, a callback, or explaining it all again.
Step 04 / 04
Intelligence that compounds
Every run makes the next one better.
AIOS turns execution outcomes into a governed playbook of strategies, error patterns, resolutions, and constraints. The next plan starts with what the system has already learned.
Recall what matters
Before planning, AIOS retrieves the lessons relevant to the task at hand.
Reflect on the outcome
After each run, it records what helped, what failed, and what resolved the issue.
Curate with evidence
Useful lessons rise. Harmful ones are pruned. Human edits remain protected.
Elastic, self-evolving software
Software that reshapes itself around the business.
AIOS evolves its workflows through Agentic Context Engineering. With Nightshift, it also evolves the software underneath them. Every night it reads the day’s runs, finds the capability gaps, and builds what is missing: integrations, tools, features. It expands, contracts, and reshapes itself around your operation without waiting for a feature request.
Every change is a proposal. It acts only with an expert’s sign-off, its code is reviewed by our engineers, and it reports back on the metric it promised.
Self-improving workflows
Evolving context makes each workflow better at what it already does. Nightshift watches the trend lines and fixes what is drifting: the step that keeps failing, the retry that always succeeds on the second try, the policy that stalls approvals.
Self-improving software
When the integration you need does not exist, Nightshift builds it, tests it, and hands it to a cvlSoft engineer for review. Your operation gets the connector. Every AIOS customer gets it too.
Self-improving capabilities
Gaps beyond what it may build itself become a request to our team with the evidence attached: which runs, which trend, what it would change. Nothing waits on a feature-request queue.
Nothing reaches production on confidence alone.
Every release is versioned, evaluated against expected behavior, reviewed by a person, and kept separate from the working draft.
01
Version.
Capture an immutable snapshot of the workflow and its configuration.
02
Evaluate.
Test expected paths, correctness, and policy compliance in Draft.
03
Approve.
A reviewer other than the requester decides what moves forward.
04
Promote.
Run with Production connections and return to a previous release when needed.
Autonomy you can hand to an auditor
Governance isn’t a setting in AIOS. It’s the path every execution runs through. Every action is policy-gated: AIOS checks it against your policies before it reaches a system of record, and you add rules where your process needs them. Nothing happens that you can’t reconstruct afterward.
Every action is policy-gated
AIOS plans before it executes. Each tool call is checked against a deterministic policy engine, with per-tenant overrides, before it touches a system of record.
A person signs the steps that matter
Put an approval gate on any step. The run pauses for an expert’s sign-off, and the decision is recorded alongside the execution it authorized.
An immutable audit ledger
Every action, input, and output is written to an append-only log. Months after the fact, reconstruct exactly what ran, on whose authority, and why.
Kill switches and circuit breakers
Halt one execution or the entire tenant instantly. Breakers trip on their own when cost, error rate, or scope leaves the band you set.
Working with · Built on
- OpenAI
- Anthropic
- Microsoft
- AWS
- MongoDB
- Next.js
Working with
- OpenAI
- Anthropic
- Microsoft
Built on
- AWS
- MongoDB
- Next.js
From observation to production
What four weeks contains.
cvlSoft engineers work with your experts, systems, and controls until the first process is running in production. Then your team takes ownership.
01
Observe and scope
Choose the process, capture the work, and define the outcome.
02
Build and connect
Turn the process into a workflow and connect the systems it uses.
03
Validate and approve
Test expected behavior, tune policies, and secure signoff.
04
Go live and improve
Promote the release, monitor outcomes, and let Nightshift file the next improvements each morning.
Questions
Frequently asked questions.
What operations and technology leaders ask before they bring us a process.
What happens in the demo?
About 30 minutes, most of it the real software running live. AIOS builds a workflow from an expert interview, runs it against real systems, pauses for an approval, places a phone call and shows the itemized bill for the run. If it’s a fit, next is a two-hour discovery session with the people who run the work. It ends with the processes to start on, a definition of success for each, and the expert AIOS interviews first.
What do you need from our team?
Mostly time with the expert who does the work. AIOS interviews them and watches them do it, so nobody writes a requirements document. Your team reviews the workflow in plain English, whoever owns the systems approves the connections, and an expert signs off before it goes live. cvlSoft engineers embed with your team and do the initial build.
How long until it’s running?
About four weeks for the entire initial setup and onboarding: observe and scope, build and connect, validate and approve, go live. Every capability after that deploys faster, because it reuses the connections, rules and knowledge already in place.
How do you keep it safe and accountable?
AIOS plans before it acts and checks every action against your policies before it touches a system of record. Any step can wait for an expert’s sign-off, and a kill switch stops one run or everything instantly. Every action, input and output goes to an audit ledger nobody can edit. Your data stays isolated in your tenant, no model is retrained on it, and AIOS can run in your own cloud.
What work can AIOS actually run?
Whole processes, not single steps: work that follows a case from open to closed. Examples are chasing overdue invoices, claims intake, missing-document follow-up, loan conditions, service requests and scheduling. AIOS takes the work in, does it across your systems and talks to customers by phone, text and chat. It brings in a person only for the exceptions, with the full case and a recommended action.
Is it built around our process?
Yes, because it learns from your people rather than from a template. AIOS captures the judgment calls and workarounds your SOP leaves out and runs within your rules and approval points. Your team approves the workflow before anything runs.
Does it work with the systems we already use?
Very likely. AIOS has ready-made connectors for more than 100 systems, including Salesforce, ServiceNow, NetSuite, Workday, Microsoft 365 and Google Workspace. It is also an MCP/A2A gateway, so anything that speaks MCP plugs in as a governed connection. Anything else connects through its API or database, or Nightshift autonomously builds the connector. There’s no migration: AIOS works on top of your systems.
How does pricing work?
You pay for finished work, not seats, and there’s no platform fee. The bill has up to three parts: an outcome fee per task, charged only when a run achieves its workflow’s goal and at most once per run; AI model usage at the provider’s cost plus 5%; and phone and text usage on numbers AIOS provides at the carrier’s cost plus 5%. Use your own model provider keys, or your own Twilio account and numbers, and that usage costs you nothing from us. There’s no fee for the initial implementation, and a run that misses its goal carries no outcome fee. You get the numbers for your own process on the demo.
Can we start with a pilot?
We can. However, we suggest skipping the pilot and going straight to production on one real process. There’s no fee for the initial implementation, and a run that misses its goal carries no outcome fee, which is the protection a pilot is usually there to give.
How is AIOS different from building AI agents?
An agent does one task with its own rules, tools and memory, and it’s one more thing to secure and maintain. Build twenty and you have a collection, not a strategy. AIOS is one core that every process shares: teach it once, and finance, operations and support all get smarter the same day.
Not hype. Real agentic AI.
See it in action.