We work backwards from your problem.
Three practice areas. Start with any one.
· Strategy
An AI strategy is a set of decisions.
An AI strategy is dozens of decisions. These are six you are already making by default; we make them deliberate.
- What to build first
- Build, buy, or adapt
- Where your data lives
- What your data needs
- Rules and oversight
- What stays human
- …and the decisions specific to you.
Ways to start
You leave with
a decision log your leadership signed off on, and a clear first project to pursue.
You leave with
a prioritized roadmap, the business case behind it, and a 90-day plan.
You leave with
a scored gap map across data, infrastructure, team, and governance, and what to fix first.
When AI is not the right tool for the problem, we say so.
Schedule a discovery call· Transformation
AI fails when the technology outpaces the organization.
We do the people side: training, habits, and measurement.
~70%
of corporate transformations fall short
McKinsey & Company
7x
more likely to meet objectives with excellent change management
Prosci, change management research
Ways to work with us
You leave with
AI literacy by role, change playbooks fit to your culture, and an adoption readout for your leadership.
You leave with
senior AI leadership inside your organization, and leaders coached through the change.
You leave with
the roles, rules, and decision rights for an organization where AI does real work.
When we are done, your team runs it.
Schedule a discovery call· Solutions, in practice
The solutions we build
Agents: software that completes a task end to end, with your people approving what matters.
Example uses
Outbound calling
Structured calls that follow up and log themselves.
Inbound intake & qualification
Answers, qualifies, and routes to the right person.
After-hours coverage
Covers the phones when your team is off.
Appointment booking
Books, confirms, and reschedules on your calendar.
Surveys & follow-ups
Calls back for feedback, renewals, and reminders.
Multilingual support
Natural conversations in your customers' languages.
Examples, not limits. If you can describe the workflow, we build the agent.
Example uses
Next best action for sales
The highest-value move for each rep, ranked.
Product & offer recommendations
The right product or offer for each customer.
Lead & case prioritization
Scores your pipeline so you work the right things.
Churn & risk scoring
Flags the accounts most likely to leave.
Pricing & discount guidance
The price that wins and protects margin.
Personalized experiences
Tailors what each user sees next.
Examples, not limits. If you can describe the workflow, we build the agent.
Example uses
Answers from your knowledge base
Plain-language answers from your own documents.
Contract & document review
Pulls key terms and flags what matters.
Proposal & RFP builder
Drafts proposals and RFP responses from your content.
Search across systems
One search across your tools, with sources.
Data extraction
Structured fields out of forms and PDFs.
Policy & compliance Q&A
Answers from your policies, source attached.
Examples, not limits. If you can describe the workflow, we build the agent.
Example uses
Anomaly & fraud detection
Flags the unusual events worth a look.
Alerting & routing
Signals become alerts that reach the right person.
Entity resolution
Connects scattered records to one identity.
Quality monitoring
Catches drift before it becomes a problem.
Threat & risk surfacing
Surfaces the few signals that matter.
Uptime & SLA watch
Escalates before your customers notice.
Examples, not limits. If you can describe the workflow, we build the agent.
Example uses
Back-office automation
Repetitive multi-step processes, run end to end.
Triage & routing
Sorts incoming work to the right owner.
Data reconciliation
Matches records and surfaces the mismatches.
Onboarding & provisioning
Sets up new customers, employees, or accounts.
Report generation
Recurring reports compiled from live data.
Inbox & ticket handling
Drafts replies, tags, and closes routine tickets.
Examples, not limits. If you can describe the workflow, we build the agent.
We build AI for the places that cannot get it wrong.
Telecommunications
Watches the network for fraud, answers customer calls.
Public Sector
Compliance checked automatically, humans on the judgment calls.
Financial Services
Risk flagged, next steps ranked, contracts read.
Legal
Matters triaged, documents read, research answered from your files.
Healthcare & Life Sciences
Records requests answered. Patient data stays inside your walls.
Technology
Routine tickets resolved, internal questions answered from your docs.
Logistics & Supply Chain
Late shipments and billing exceptions flagged and routed.
Energy & Utilities
Outages predicted, grid load balanced, field reports read.
What we are building
Strixo Stax
Your agents, your infrastructure.
Capable AI without giving up control. Your agents run on infrastructure you own, connected to any model you choose, with full visibility into everything they do.
Diagram: a dashed boundary labeled inside your walls, covering on-premises, private cloud, air-gapped, and your own hardware. Inside the boundary, agents that answer calls, read documents, flag fraud, recommend next steps, or do work you define, all running on the Strixo Stax platform. The platform runs the agents, connects to any AI model, and logs everything it does.
On-prem · private cloud · air-gapped · your hardware
- Answers calls
- Reads your documents
- Flags fraud
- Recommends next steps
- your own
Strixo Stax
Runs your agents, connects to any AI model, and logs everything it does.
More at launch
AI strategy from people who've built the systems.
We set the strategy, build the system, and get your team running it.
Ready to put AI to work?
Tell us what you're trying to do. We'll be honest about whether we can help.
Bring us your hardest problem.
A short discovery call to see where AI actually pays off for you.
Prefer to send a note instead?