Enterprise AI, agents and copilots ready for regulated environments
We build AI systems that live inside enterprise reality — SSO, role-based access, audit trails, and integrations with the line-of-business platforms your teams already run. Copilots and agents that pass security review and reach adoption.
What enterprise AI actually requires
Real enterprise deployments live or die on the details around the model — identity, permissions, audit, and integration with the systems your business already depends on.
Enterprise SSO integration
Okta, Azure AD, Auth0 and SAML/OIDC providers wired in from day one so users sign in with the identities you already manage.
Access controls & audit
Role-based permissions, per-document authorization, and full audit trails of every prompt, tool call, and output.
Workflow orchestration
Multi-step agent graphs that coordinate across teams and systems, with approval gates where the process demands them.
Custom agent design
Purpose-built copilots and task agents shaped around the actual workflows your teams run every day.
Integration with LOB systems
Salesforce, ServiceNow, SAP, Workday, Snowflake, and internal APIs surfaced through typed tools with proper auth.
Change management
Rollout plans, enablement materials, and adoption tracking so the AI investment reaches the people it was built for.
A path from pilot to enterprise rollout
Four phases that put security review, integration, and adoption on the critical path — not as an afterthought.
Enterprise discovery
We work with business owners, IT, and security to map the target workflow, data boundaries, and success criteria.
Architecture & security review
Reference architecture, data flows, and threat model reviewed with your security team before we write production code.
Build & pilot
A working system delivered to a controlled pilot group, wired to your identity, logging, and observability stack.
Rollout & governance
Phased expansion with enablement, monitoring dashboards, and an operating cadence that keeps the system healthy.
The enterprise AI stack we deploy
Model providers, orchestration frameworks, identity platforms, and the LOB systems your business already runs.
Where enterprise AI earns its budget
Workflows with clear inputs, measurable outputs, and enough volume for AI to move the number that matters.
Enterprise-wide copilots
Grounded assistants that sit inside the tools your teams already use, scoped by role and department.
Multi-agent workflow automation
Long-running task graphs that coordinate research, drafting, and approval across systems.
Customer service AI
Deflection, routing, and reply drafting connected to your CRM, knowledge base, and ticketing platform.
Internal knowledge assistants
Cross-source Q&A over policies, playbooks, and internal wikis with per-user permissions honored.
Sales & CRM copilots
Account research, call summarization, and CRM updates through structured tool calls, not screen scraping.
Ops & IT automation
Runbook-driven agents that triage alerts, execute safe remediation, and escalate on ambiguity.
Outcomes that survive security review
Enterprise AI is only valuable when it reaches production, gets adopted, and holds up under audit.
Faster deployment cycles
Reference architectures and prebuilt integrations shorten the path from proof of concept to live systems.
Enterprise-grade security posture
SSO, per-object authorization, encryption, and audit logging designed for the reviews your team already runs.
Adoption you can measure
Usage, task completion, and satisfaction tracked per team so you know which copilots deserve more investment.
Governable AI programs
Policies, model cards, and evaluation dashboards give leadership a real view of what AI is doing across the business.
Enterprise AI in production
A grounded assistant deployed into a live support organization.
AI • RAG
NeuraDesk
A retrieval-augmented support copilot that grounds answers in a company's own knowledge base.
Read Case Study →Why enterprises work with Zikosoft
A senior team that has shipped AI into regulated environments and stayed with it through the operational work.
Learn more about us →Senior engineers on every call
You work directly with the architects and engineers designing the system, not through account layers.
Security review is a starting point
We come in expecting InfoSec, legal, and procurement to have a seat at the table from day one.
Own the outcome end-to-end
Discovery, integration, rollout, and monitoring under a single team accountable for the result.
You own the stack
Code, prompts, and infrastructure live in your accounts. Models are swappable and there is no lock-in.
Questions enterprise teams ask us first
Practical answers on security, adoption, and how enterprise AI actually reaches production.
How do you handle sensitive enterprise data?
Can it integrate with Salesforce, ServiceNow, and other LOB tools?
How do you handle SSO and user permissions?
What does the audit trail look like?
How do you manage rollout across a large organization?
Who operates the system after go-live?
Ready to plan your enterprise AI rollout?
Book a working session and we'll shape a first pilot around a workflow that matters to your business.
Book a Discovery Session →