Capability 02
AI Architecture & Engineering
Design and build intelligent systems that solve real enterprise problems.
Services included
- LLM application development
- Agent architecture and engineering
- Multi-agent systems
- RAG architecture and implementation
- Enterprise AI copilots
- Internal AI assistants
- Model selection and integration
- Fine-tuning and custom model integration
- AI workflow automation
- Enterprise application and API integration
Business problems addressed
- Pilots that impress in a demo and cannot reach the systems of record.
- Unclear boundaries between models, tools, data, permissions, and users.
- Agent designs that only work on the happy path.
Example enterprise use cases
- An internal assistant grounded in approved company knowledge.
- A controlled multi-step agent embedded in an existing business workflow.
- A product copilot integrated with the application and its APIs.
Typical deliverables
- Solution and integration architecture.
- A working LLM, RAG, or agent system.
- Model integration with evaluation hooks from the start.
- Handover notes for the team that will operate it.
Engagement model
Project-Based Implementation
Related industry lines
ScopedLegal ServicesLegal work is volume plus judgment. We design workflows that draft, compare, and retrieve, while qualified counsel remains responsible for the advice.OpenScopedFinance & AccountingFinance runs on documents, reconciliations, and controls. We apply AI where the work is repetitive and keep accountants responsible for the numbers that get reported.OpenFutureInsuranceClaims, underwriting, and policy work are document-heavy and tightly regulated. This is a future service line: we will help design the workflows, and we do not run them as a standing operation today.OpenScopedHuman Resources & RecruitmentHiring and HR operations mix coordination with decisions that affect people. We automate the preparation and the paperwork, and we keep humans responsible for selection and employee judgment.OpenFutureHealthcareClinical and administrative work carries patient risk and strict obligations. Healthcare is a future service line. We do not offer clinical services, and we do not claim an operational healthcare practice today.OpenFutureBanking & Financial ServicesBanking operations sit inside heavy control environments. This is a future service line: useful to design with a partner bank, not something we present as a live managed operation.OpenScopedSales & MarketingCommercial teams lose time to research, list work, and campaign operations. We build the intelligence and the execution layer, and we leave the offer, the relationship, and the claim with the people accountable for them.OpenFutureLogistics & Supply ChainLogistics coordination depends on documents, exceptions, and partners outside the building. This is a future service line we are preparing, not a network we operate today.OpenScopedIT & Software OperationsIT and software operations already live in queues, tickets, and code. We apply AI to triage, testing, and analysis, with engineers still responsible for what ships and what changes in production.Open