AI that ships,
not AI that demos.
SkySys builds and deploys agentic AI directly into the workflows our clients already run.
Putting agents into your workflows, or finishing the app you started building.
Four ways we put agents to work.
We build production AI like CoRaX, published in Radiology: Artificial Intelligence, and deploy enterprise agents on a 2025 Gartner-recognized platform. See the CoRaX case study
A Gartner Magic Quadrant leader for Conversational AI.
Assistants and search that lift team productivity.
Contact center agents and QA that reduce cost-to-serve.
Pre-built agents that take repetitive work off the team.
Agents already doing the work.
Four engagements where an agent took over the repetitive part of the job, anonymized by sector.
Details
Foremen spent one to two hours per work order manually researching safety compliance guidance, on top of more than 100 work orders a day.
An agent gathers the relevant safety clauses, drafts the work order update, and routes it for the foreman’s sign-off, with a human still in the loop on anything hazardous.
Equivalent to roughly $1.5 million in annual cost savings.
Stronger engagement and healthier team dynamics.
Details
Static psychometric reports gave employees a one-off result with no ongoing support.
A set of agents for coaching, meeting support and relationship guidance draw on each person’s own profile to give context-aware guidance in the moment.
Less manual effort and faster vendor turnaround.
Details
Invoices were validated against purchase orders by hand and reconciled separately across two systems, with vendor queries eating into the team’s time.
A multi-agent system validates invoices against POs, coordinates corrections directly with vendors, updates both systems on approval, and handles routine vendor queries in real time.
Better collaboration and time saved across every cross-border meeting.
Details
Teams across continents lost time and accuracy to manual transcription and translation in daily cross-border meetings.
An agent transcribes and translates each meeting live and produces bilingual notes for both sides.
Built it with AI. Stuck before launch?
The demo works. Production is a different job. We finish it.
- Access
Sign-in works for you. Roles, permissions and resets fall apart with real users.
Proper authentication, roles and an audit trail.
- Data
The data model grew by accident.
A clean structure, validation, backups and a safe way to change it.
- Connections
The links to the services around it keep breaking, or never worked.
Built and tested connections to email, storage, calendars and your own services, with errors that say what failed.
- Security
Secrets in the code, no review, and questions from IT you cannot answer.
A security review and the evidence your IT team will ask for.
- Launch
It runs on the builder's preview, not on infrastructure you control.
Hosting you own, separate environments, monitoring and a deployment pipeline.
- Handover
Nobody can change it without breaking something.
Documented, tested code and a handover your team can run, or we run it for you.
The link, the tool you used and what is failing. Two minutes.
We open it up and tell you straight: finish it, rebuild it or start again.
Fixed scope, taken in order, no surprises.
Yours to run, or ours to run for you. Then, if it helps, we add the agent.
Internal tools, workflow and approval apps, client portals and AI document tools are squarely in our lane. We run one or two builds at a time and tell you which slot you are in before you commit.
It starts with a short, scoped review, so you know where you stand before you commit to anything bigger.
Data stays in the client’s environment, follows SOC 2, GDPR and ISO 27001-aligned standards, with a human in the loop.
Tell us the workflow.
We will tell you if an agent belongs in it.
One conversation, no pitch deck. Bring the process, and you will have a straight answer.