We help businesses move AI workflows from idea to production.
We combine functional understanding, software engineering, and AI workflow design to help teams identify the right AI opportunity, build it safely, and take it into real operations.
AI Workflow Discovery Sprint
Identify the right AI workflow before investing in technology
The Problem
Teams often begin with a model, tool, or executive request before confirming whether the workflow has enough business value, usable data, clear ownership, and a realistic path to production.
The result is often an impressive pilot that cannot be justified, integrated, governed, or adopted.
The Solution
We examine the business process, user needs, decision points, data sources, risks, integrations, and success measures to determine whether the opportunity is worth pursuing.
What You Get
- Business workflow and stakeholder discovery
- Use-case prioritisation and value assessment
- Data and integration readiness review
- Risk, ownership, and human-review mapping
- Initial solution and workflow architecture
- Recommended next-step roadmap
- Decision-ready discovery summary
- Clear go, refine, or stop recommendation
Engagement: Focused discovery sprint
Prototype to Production Sprint
Turn a validated AI idea into a reliable business workflow
The Problem
A promising prototype may demonstrate that an AI model can perform a task, but it usually lacks the integrations, controls, exception handling, monitoring, and operating model required for real business use.
Without this production layer, the initiative remains a demonstration rather than an operating capability.
The Solution
We convert the validated concept into an end-to-end production workflow with architecture, integrations, human approvals, guardrails, deployment planning, and operational controls.
What You Get
- Production workflow and solution design
- Enterprise application and API integration
- Human review and escalation paths
- Security, permissions, and guardrails
- Testing, monitoring, and evaluation
- Deployment and production-readiness planning
- Operational documentation and handover
- Clear ownership and support model
Engagement: Scoped implementation sprint
AI Workflow Operations Partner
Operate, improve, and govern AI workflows after launch
The Problem
Once an AI workflow is live, models, prompts, data, integrations, users, and business rules continue to change. Without clear monitoring and ownership, quality can decline and operational risk can increase.
Production issues may remain unresolved while costs, errors, and user frustration quietly grow.
The Solution
We provide ongoing technical and operational oversight to monitor performance, review failures, improve quality, manage controlled changes, and keep the workflow aligned with business needs.
What You Get
- Workflow performance and failure monitoring
- Prompt, model, and rule change oversight
- Evaluation, quality, and exception reviews
- Integration and production issue support
- Usage, cost, and reliability optimisation
- Governance and continuous improvement
- Operational reporting and recommendations
- Ongoing ownership and escalation support
Engagement: Monthly or retained operations support
Fractional CTO & Technology Advisory
Senior technology leadership without immediately hiring a full-time CTO
The Problem
Your organisation may already have developers, vendors, or an internal technology team, but important decisions around architecture, delivery, production stability, hiring, vendors, and AI adoption lack experienced technical leadership.
Management may receive conflicting recommendations, delivery may remain unpredictable, and short-term decisions may create long-term technical risk.
The Solution
Unicus provides ongoing senior technology leadership to help management and engineering teams make clearer decisions, improve delivery accountability, strengthen architecture, oversee vendors, and align technology priorities with business objectives.
What We Help With
- Architecture and technology assessments
- Engineering delivery oversight
- Technical roadmap and prioritisation
- Vendor and implementation-partner reviews
- Team assessment and senior hiring support
- Production stability and risk management
- Practical AI adoption and governance
- Management and engineering alignment
Engagement: Assessment, monthly advisory, or critical-project support
Not every AI idea should be built. The right one should.
We help you evaluate where AI can create real business value, what it will take to build safely, and whether the workflow is ready for production.
Practical advice first. Implementation only where it makes sense.