CAPABILITIES

Services

Engineering-led consulting for automation, applied AI and operational workflows—from assessment and architecture to implementation, control and enablement.

01

Automation strategy and roadmap

Determine where automation creates real operational value before investing in tools.

  • Process and automation opportunity inventory
  • Feasibility, risk and control assessment
  • Prioritization and value estimation
  • Target architecture and implementation roadmap
  • Governance and operating model

02

RPA and business process automation

Design and implement workflows that coordinate people, systems, data and exceptions.

  • Process redesign and orchestration
  • API, file, database and application integrations
  • Rule implementation and data validation
  • Exception handling, logging and monitoring
  • Testing, documentation and operational handover

03

AI agents and intelligent workflows

Create tool-using AI systems with defined responsibilities, controls and approval boundaries.

  • Agent architecture and tool integration
  • Prompt and context engineering
  • Human-in-the-loop approvals
  • Memory and state-management design
  • Evaluation, observability and guardrails

04

RAG and enterprise knowledge systems

Develop source-grounded assistants for internal documentation, technical knowledge and decision support.

  • Document ingestion and metadata design
  • Chunking, embeddings and vector retrieval
  • Reranking and context construction
  • Citations and source traceability
  • Evaluation datasets and retrieval testing

05

Finance and reporting automation

Automate recurring finance activities without removing necessary controls or review.

  • Reconciliation and validation workflows
  • Journal-entry support and approval routing
  • Close-process coordination
  • Data consolidation and report generation
  • Audit evidence and traceability

06

Training and enablement

Build internal capability so teams can use, evaluate and govern automation and AI effectively.

  • Role-specific AI and prompt-engineering training
  • Automation operations and monitoring
  • Technical documentation and playbooks
  • Workshops and implementation support
  • Governance and responsible-use practices

ENGAGEMENT MODELS

Focused support or end-to-end delivery

Assessment

Short diagnostic engagement producing priorities, architecture and roadmap.

Implementation

Defined project with design, build, testing, documentation and handover.

Advisory

Ongoing technical guidance, review, troubleshooting and improvement support.

Start with the process—not the tool.

Provide the current workflow, business objective, constraints and systems involved.