Now Serving Enterprises in 54 Countries

Your Business Runs on People.
AI Agents Make Them Unstoppable.

We design, build, deploy, secure, host, and manage AI agents for your organization. You describe the outcome — we deliver a production agent that works 24/7 alongside your team. No hiring. No infrastructure. No risk.

Get the AI Agent Readiness Assessment — Free

Discover which business functions in your organization are ready for AI agents today. Includes ROI projections and a prioritized deployment roadmap.

200+ Agent Capabilities
3 Cloud Providers
24/7 Managed & Monitored
99.9% Uptime SLA
How SIAS Works

The SIAS Model — We Own the Entire Stack

From requirements to production, we handle everything. You describe the outcome you need — we deliver a running, managed AI agent.

Step 01
You Describe the Problem

Tell us your business challenge — the workflow you want automated, the decision you want accelerated, the data you want processed. No technical specifications required.

Step 02
We Design and Build the Agent

Our AI engineers architect the agent's tools, memory, reasoning patterns, integrations, and safety guardrails. Every agent is purpose-built — never a generic template.

Step 03
We Deploy, Secure, and Host It

We handle cloud hosting, security hardening, zero-trust networking, secrets management, compliance controls, and 24/7 monitoring. Your agent runs — you never touch a server.

Step 04
You Get Measurable Results

Track agent performance through a dedicated dashboard. We provide SLAs, regular business reviews, continuous optimization, and iteration as your needs evolve.

What We Build

AI Agents for Every Function in Your Organization

From security operations to executive decision support — we deploy purpose-built agents that integrate with your existing systems and data.

Security & Compliance

SOC triage, threat detection, vulnerability management, compliance automation, and incident response — operating at machine speed around the clock.

14+ Agents
Software Engineering

Code review, test generation, refactoring, documentation, legacy modernization, and CI/CD optimization — integrated into your existing workflows.

12+ Agents
DevOps & Cloud

Infrastructure provisioning, Kubernetes operations, cost optimization, secrets rotation, and production incident response across AWS, Azure, and GCP.

20+ Agents
Sales & Revenue

Lead generation, prospect research, personalized outreach, proposal creation, CRM enrichment, and follow-up automation that never drops a lead.

8+ Agents
Data & Analytics

Natural-language SQL, ETL automation, data quality monitoring, BI report generation, and real-time anomaly detection from your existing data estate.

8+ Agents
+ 11 More Domains

Healthcare, legal, finance, HR, customer support, marketing, manufacturing, executive copilots, and more. Every agent custom-built for your environment.

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Pricing

Transparent, Outcome-Based Pricing

Every plan includes hosting, security, monitoring, and support. No hidden infrastructure costs.

Starter
$2,500 /month

Perfect for organizations deploying their first AI agent and building internal confidence with the technology.

  • 1 AI agent, fully managed
  • Basic RAG with up to 10K documents
  • Email support, 48-hour response SLA
  • Monthly performance review
  • Standard security baseline
  • Single cloud deployment
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Professional
$7,500 /month

For teams ready to deploy multiple agents across key workflows with custom integrations and tighter SLAs.

  • Up to 3 AI agents, fully managed
  • Advanced RAG + tool calling
  • Priority support, 12-hour response SLA
  • Weekly performance reviews
  • Custom CRM/ERP integrations
  • Multi-environment deployment
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Enterprise
$15K+ /month

Full-scale AI transformation with unlimited agents, dedicated engineering, and compliance-grade infrastructure.

  • Unlimited AI agents
  • Multi-agent orchestration
  • 24/7 support with dedicated engineer
  • 99.9% uptime SLA
  • SOC 2 / HIPAA / GDPR compliance
  • Private cloud or on-prem option
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Custom
Let's Talk

Specialized requirements including government, regulated industries, existing vendor lock-in migration, or bespoke agent architectures.

  • Full enterprise AI deployment strategy
  • Legacy system integration
  • Regulatory compliance architecture
  • White-label options available
  • Staff augmentation included
  • Retainer or project-based pricing
Contact for Pricing
Timeline

From Kickoff to Production in 12 Weeks

A structured delivery process proven across enterprise deployments. Each phase has clear deliverables and review gates.

Discovery
Requirements & Design
Weeks 1–2
Design
Architecture & Data
Weeks 3–4
Build
Agent Development
Weeks 5–8
Test
QA & Security Review
Weeks 9–10
Deploy
Production Launch
Weeks 11–12
Optimize
Managed & Improved
Ongoing
Security & Compliance

Enterprise Security by Default

Security is not an add-on. Every SIAS deployment is built with compliance-grade controls from day one.

SOC 2 Type II
Security, availability, and confidentiality controls
HIPAA Ready
PHI handling and BAA available for healthcare clients
GDPR Compliant
Data residency, right to erasure, DPA available
ISO 27001
Information security management system alignment
Zero Trust
Never trust, always verify — ZTNA architecture
E2E Encryption
TLS 1.3 in transit, AES-256 at rest
Role-Based Access
Least-privilege RBAC across all agent operations
Audit Logging
Immutable logs for every agent action and decision
Industries

Serving Every Major Sector

SIAS agents are deployed across heavily regulated, high-stakes industries. We understand the compliance requirements of each sector.

Financial Services
Healthcare
Technology
Manufacturing
Retail & E-Commerce
Government
Legal
Education
FAQ

Common Questions

ChatGPT Enterprise and similar copilot tools give your team access to an AI assistant — they do not give you a deployed, running agent integrated into your existing systems. SIAS builds purpose-specific agents that connect directly to your CRM, ERP, code repositories, SIEM, or any other system, execute multi-step workflows autonomously, and operate around the clock. You are not prompting an assistant — you are running a workforce of AI specialists.
No. SIAS is designed specifically for organizations that do not have an AI engineering team in-house. We provide the full stack — design, build, security hardening, hosting, monitoring, and ongoing optimization. The only requirement from your side is a clear problem statement and access to the relevant internal systems or data sources. We handle everything else.
By default, agents are hosted in a secure multi-tenant cloud environment on AWS or Azure, with region selection available to meet data residency requirements. Enterprise and Custom tier clients can opt for single-tenant or private cloud deployment, including on-premises installation for fully air-gapped environments. All data in transit is encrypted with TLS 1.3, and all data at rest uses AES-256 encryption.
Every SIAS agent is built with a layered guardrails system. This includes input and output validation, hallucination detection, confidence thresholds with human-in-the-loop escalation for low-confidence decisions, audit logging of every action taken, and rollback capabilities for reversible operations. Agents operate within explicitly defined tool permissions — they cannot execute actions outside their defined scope. We also run continuous behavioral evals as part of the managed service.
We are model-agnostic and select the optimal foundation model for each agent's requirements. Commonly used models include Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, and Llama 3 for different cost and capability profiles. Some agents use a cascade approach — a faster, cheaper model handles routine decisions while a higher-capability model handles complex reasoning tasks. Enterprise clients can mandate specific models or restrict to models that have signed data processing agreements with their organization.
We maintain pre-built connectors for Salesforce, HubSpot, Jira, GitHub, GitLab, Slack, Microsoft 365, Google Workspace, ServiceNow, SAP, Oracle, AWS, Azure, GCP, Splunk, CrowdStrike, Okta, and over 200 other enterprise systems via REST APIs. For proprietary or legacy systems, we build custom connectors as part of the engagement. All integrations use OAuth 2.0 or API key management through a centralized secrets vault — no credentials are stored in agent code.
Most clients see measurable productivity gains within the first 30 days of operation. Full ROI realization — defined as the point where agent-driven efficiency savings exceed the total cost of the program — typically occurs within 4 to 9 months, depending on agent type and baseline process costs. Our discovery phase includes a formal ROI projection based on your specific workflows, headcount, and operational data.
Yes. SIAS is built on open-source frameworks (LangGraph, LangChain, CrewAI, etc.) to avoid proprietary lock-in. Enterprise clients own the intellectual property of custom-built agent code. We can provide a full technology transfer including documentation, runbooks, and a transition support period if you choose to bring operations in-house after the initial engagement. Many clients choose to keep the managed service running while building internal competency in parallel.
All production agents run with active health monitoring, automatic restart policies, and circuit breakers to isolate failures. The Enterprise SLA guarantees 99.9% uptime with a defined incident response time of under 15 minutes for P0 outages. We run agents in multi-availability-zone deployments on Professional and Enterprise tiers. Clients receive proactive notifications for any degraded performance, not just full outages. Post-incident root cause analysis and remediation reports are included with every incident.
Yes — multi-agent orchestration is a core capability of the Enterprise and Custom tiers. We can deploy an orchestrator agent that routes tasks to specialist sub-agents based on task type, confidence, or resource requirements. For example, a security operations orchestrator can spawn a SIEM investigation agent, a threat intelligence lookup agent, and a report generation agent in parallel — then synthesize their outputs into a structured incident report. This mimics a real-world security team, but operates at machine speed.
Testimonials

What Our Clients Say

★★★★★

"We deployed a SOC analyst agent through SIAS that now handles the first-level triage for over 400 security alerts per day. Our analysts are no longer drowning in noise — they investigate the 12 alerts that actually matter. The agent paid for itself in the first three months through headcount efficiency alone."

Marcus T.
CISO, Financial Services Firm — Lagos, NG
★★★★★

"Our engineering team was spending 30% of sprint capacity on code review and documentation. The SIAS coding agent now handles initial PR reviews, generates docstrings, and flags security issues before code even hits the review queue. Engineers love it because they spend more time building features and less time on repetitive checks."

Sophia R.
VP Engineering, SaaS Startup — London, UK
★★★★★

"We needed to modernize a legacy claims processing system but couldn't afford to pause operations. SIAS built a parallel AI agent that processed claims alongside the old system for three months. We validated accuracy, refined edge cases, and then cut over cleanly. It was the lowest-risk legacy modernization we've ever done."

David O.
CTO, Insurance Group — Nairobi, KE
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Tell us about your challenge. We'll map it to the right agent — no sales pitch, just a technical conversation about what's possible.

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A 40-page guide covering agent design patterns, ROI calculation frameworks, security controls checklist, and vendor evaluation criteria. Free, no paywall.