Production-first, not demo-first
We design for the realities of live operations from the start: data quality, workflow integration, user adoption, evaluation, monitoring, security and measurable business impact.
Applied AI consultancy for complex operations
Move AI from pilots to production
Sorsana helps operationally complex organisations turn AI ideas into secure, measurable production workflows across retail operations, back-office teams, insurance, financial services, legal operations and customer-service environments.
Where production AI has to work
We work where AI has to do more than impress in a demo: merchandising, pricing, product content, invoicing, claims, cases, documents, service operations, compliance-heavy processes and high-volume back-office workflows.
From opportunity assessment and pilot design to production integration, evaluation and governance, we build AI systems that work inside real operations.
Most AI pilots do not become operational advantage
AI adoption is no longer the hard part. The hard part is turning promising demos into systems that work inside real business processes.
Organisations often get stuck between experimentation and production because the difficult questions arrive late.
- Which workflow is valuable enough to automate or augment?
- How will the system fit into existing operations?
- Can outputs be evaluated reliably?
- What needs human oversight?
- How will risk, security or operational leaders sign it off?
- What ROI will the business actually measure?
- How will users adopt it day to day?
Sorsana exists to close that gap.
AI that works inside real operations
Sorsana is an applied AI consultancy for organisations with complex, high-volume or high-friction operations.
We help teams identify where AI can create measurable value, then design and deploy systems that integrate with existing workflows, support users, satisfy governance requirements and reach production.
Our experience spans both regulated environments, such as insurance and financial services, and commercial operations, such as retail, merchandising, pricing, product content, invoicing and back-office transformation.
We do not start with the model. We start with the workflow, the users, the constraints and the outcome.
What makes Sorsana different
Workflow-led AI
We start with the process, not the model. Sorsana focuses on operational workflows where AI can reduce manual effort, improve turnaround time, support better decisions and create measurable value.
Governance by design
Whether you operate in a regulated sector or a high-volume customer environment, governance matters. We build in human oversight, auditability, evaluation, logging, access controls and clear operating ownership.
Senior-led delivery
You work directly with experienced practitioners who understand the bridge between AI engineering, enterprise delivery, governance and operational adoption.
Measurable ROI
Every engagement starts with a workflow, a baseline and a target outcome. We help you prove value before you scale.
How we help
Sorsana works with organisations at each stage of the journey: finding the right opportunity, proving value in a controlled pilot, and taking the system into production.
AI opportunity and readiness sprint
2-4 weeks
A focused engagement to identify the highest-value AI opportunities in your operations.
Outputs
- Workflow opportunity map
- AI readiness assessment
- Data and integration review
- Governance and risk scan
- ROI sizing
- Prioritised roadmap
- Recommended first pilot
Best for
Leaders who know AI matters but need clarity on where to start.
Workflow redesign and production pilot
8-12 weeks
A controlled pilot focused on one high-value operational workflow.
Outputs
- Target workflow design
- Prototype or MVP
- Human-in-the-loop operating model
- Evaluation framework
- Security and governance assumptions
- Pilot KPIs
- Production recommendation
Best for
Teams ready to prove value in a real workflow, not just run another sandbox demo.
Productionisation and integration
12-20 weeks
Take proven AI workflows into production with the architecture, controls and adoption plan required for real operational use.
Outputs
- Production architecture
- System integration
- Evaluation and monitoring setup
- Role-based access controls
- Audit and logging design
- Runbooks
- User training and adoption support
- Go-live plan
Best for
Organisations moving from a successful pilot to operational deployment.
AI governance and evaluation layer
Practical governance and evaluation support for teams deploying generative AI, LLMs and agentic workflows.
Outputs
- Evaluation framework
- Guardrail design
- Prompt and retrieval testing
- Risk and control documentation
- Human oversight model
- Vendor and model assessment
- Audit-ready operating pack
Best for
Organisations that need confidence, not just capability.
Fractional AI design authority
Senior AI leadership for organisations that need experienced guidance without hiring a permanent AI executive or principal engineer.
Outputs
- AI roadmap ownership
- Architecture review
- Delivery assurance
- Risk and governance support
- Vendor assessment
- Programme steering
- Executive advisory
Best for
COOs, CIOs, CTOs, CDOs and transformation leaders who need senior AI judgement on demand.
Where we help
Sorsana works best where operations are high-volume, document-heavy, case-heavy, manually reviewed, commercially important or expensive to scale with people alone.
Retail and commercial operations
AI for the high-volume operational work that sits behind modern retail and commerce: back-office processes, merchandising workflows, pricing analysis, product descriptions, catalogue enrichment, supplier communications, invoice processing, order issues, returns, complaints, product knowledge and service operations.
Insurance and financial services
AI for claims, underwriting support, complaints, servicing, onboarding, document-heavy operations, quality assurance, compliance workflows and internal knowledge systems.
Legal operations and professional services
AI for document review, matter triage, summarisation, research assistance, quality assurance, knowledge retrieval and policy-controlled GenAI adoption.
BPOs, contact centres and back-office teams
AI for agent assist, conversation summarisation, quality assurance, service triage, knowledge search, complaint handling, workflow routing, invoice handling and operational exception management.
Example workflows
| Workflow | Potential AI role |
|---|---|
| Product descriptions | Generate, enrich, standardise and QA product copy at scale |
| Catalogue enrichment | Classify products, fill missing attributes and improve product data quality |
| Merchandising support | Summarise trends, surface exceptions and support range/planning decisions |
| Pricing analysis | Compare competitor prices, detect anomalies and support pricing recommendations |
| Invoice processing | Extract, validate, reconcile and route invoice data |
| Supplier communications | Summarise threads, draft responses and track outstanding actions |
| Back-office exception handling | Triage operational issues and recommend next actions |
| Claims document handling | Summarise, classify, extract and route claim information |
| Case triage | Prioritise, enrich and recommend next actions |
| Customer-service QA | Review interactions, detect risk and identify coaching opportunities |
| Internal knowledge | Help staff find accurate answers from policy, process and operational documents |
| Complaint handling | Summarise history, identify themes and support response drafting |
| Underwriting support | Extract relevant facts, compare against appetite and prepare decision support |
| Legal document review | Summarise, classify and surface key obligations or risks |
How we move from idea to production
Step 1
Find the right workflow
We identify where AI can create measurable value and where the operating conditions are right for production.
Step 2
Design the control model
We define the human oversight, evaluation, risk, security and audit requirements before scaling.
Step 3
Build the pilot
We prove value in one controlled workflow with clear success criteria.
Step 4
Integrate for production
We connect the system to real processes, users, data sources and monitoring.
Step 5
Measure and improve
We track adoption, accuracy, operational impact and improvement opportunities after launch.
Not another AI demo
Sorsana is designed for leaders who are past the hype cycle.
We are not here to show that AI can answer questions in a sandbox. We are here to help you decide where AI should be trusted, where it should not, and how to make it work safely inside real operations.
That means we care as much about evaluation, workflow design, adoption and governance as we do about models and prompts.
Built by practitioners, not theorists
Sorsana is founder-led and built around hands-on experience delivering AI in operationally complex environments.
We understand the gap between a compelling prototype and a system that survives contact with security, risk, operations, legal, procurement, users and production support.
That is the gap Sorsana is built to close.
Ready to move AI beyond pilots?
Start with one workflow.
We will help you identify where AI can create measurable value, what needs to be true for it to work safely, and how to move from idea to production without losing momentum.