Your experts know how the work actually gets done.AIOS makes it autonomous.
AIOS learns how your experts actually work, turns it into workflows that run themselves, and holds two-way customer conversations across phone, SMS, and ChatGPT.
If it fails
$0
You never pay for failed agentic executions
Time to production
4 weeks
From first observation to production deployment
What you maintain
1 core
One cognitive core, not a hundred brittle agents
Knowledge in.Brittle agents.Autonomy out.
One cognitive coreEvery process. Every channel. One governed intelligence layer.
Most enterprise 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 Intelligence.
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
This is how a loan team actually chases post-approval conditions: pull the open items from Encompass, decide which ones belong to the borrower, open the Salesforce task, send the text, and follow up at the right time. AIOS captures the steps and the judgment behind them in a graph the team can read. No prompt engineering. No code.
Step 01 / 04
Your rules stay in charge
Before anything is written back, the work pauses with the person you named. They see what AIOS has done, what it wants to do next, and the evidence behind the decision.
Step 02 / 04
Automation leaves a record
Once approved, the same knowledge runs the process across the systems already in place. Every step, decision, connector call, and result stays attached to the graph. Six months later, when someone asks why a condition was cleared, the answer is there. Nobody has to reconstruct it from logs or memory.
Step 03 / 04
Now the customer can use it too
With one click, the loan team can use the same approved process to answer or place calls and send or receive texts. It is not a second agent with a copied prompt. It is the same knowledge, rules, context, and audit trail, so the customer gets an answer without a transfer, a callback, or another explanation.
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 Evolution. 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 a named person’s yes, 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. Nothing reaches a system of record without a policy allowing it, and 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, a named person decides, 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.
Not hype. Real enterprise agentic AI.
See it now.