Workflow discovery
Work with operational owners to observe handoffs, exceptions and the cost of current processes.
Services / Forward Deployed Engineering
Forward Deployed Engineering as a Service
Embed engineers alongside your operators and technical team to turn a high-priority AI workflow into a maintained production system. Work with an engineering team based in India, serving organizations internationally. We scope deployment, access, delivery responsibilities and support around your operating environment.
[ The buyer problem ]
Your hardest delivery gaps sit between users, data and engineering.
Requirements change as teams encounter real data and operational exceptions. An embedded delivery model keeps discovery, architecture and implementation close to the people using the system.
Integration delivery
Build across existing identity, APIs, databases and approval systems.
Pilot to production
Resolve data, evaluation and operational gaps before expanding usage.
Team transfer
Pair with internal engineers, review code and document decisions as the system evolves.
[ Scope & deliverables ]
What an engagement can include.
Scoped delivery backlog
Prioritize a bounded business workflow, dependencies and measurable acceptance criteria.
Integrated software
Deliver reviewed code, deployment configuration and tests in agreed repositories.
Ownership transfer
Provide architecture decisions, runbooks and a clear responsibility map.
[ Deployment & integration ]
Designed around the environment you operate.
Your systems
Integrate with approved identity, data sources and business applications. Access is scoped and reviewed.
Your constraints
Choose provider services or customer-controlled infrastructure according to workload, security and residency needs.
Your acceptance criteria
Agree quality, latency, cost and human review requirements before release. Document unresolved risks.
Security and operations
Engagement cadence, on-site or remote working, staffing, travel and support are agreed in the statement of work. Access is scoped to the systems needed for delivery.
What we need to integrate
- • A workflow owner and representative tasks
- • Approved data sources and access requirements
- • Infrastructure, procurement and security constraints
- • Success criteria and internal operational owners
[ Implementation process ]
From constraints to an operable system.
01
Discover
Map workflows, data, risks and constraints. Agree the business outcome, baseline and acceptance criteria.
02
Design
Define architecture, integrations, access controls and evaluation. Validate the highest-risk assumptions first.
03
Deploy
Build and integrate in stages. Test against agreed criteria, train owners and release with rollback plans.
04
Operate
Monitor quality, reliability and cost. Review incidents, evaluate changes and improve against the baseline.
Scope the right deployment.
Tell us about the workload, data, environment and operational constraints. We’ll propose a practical first step.
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