Operations agents
Coordinate repetitive cross-system work without losing visibility or control.
- Task planning
- Tool execution
- Exception handling
Agentic AI Development
AI agents that execute real business workflows
We build governed AI agents that can reason over context, use approved tools, coordinate multi-step work, and hand decisions to people when judgement matters.
Governed AI delivery for teams worldwide
Selected brands and delivery experience
Services
What we build with Agentic AI Development
Knowledge agents
Research approved internal sources and return grounded, traceable answers.
- Permission-aware retrieval
- Source citations
- Freshness controls
Sales agents
Qualify enquiries, enrich context, update CRM records, and prepare next actions.
- Intent scoring
- CRM actions
- Human handoff
Customer service agents
Resolve routine requests and route sensitive or ambiguous cases safely.
- Omnichannel intake
- Policy grounding
- Escalation paths
Research agents
Collect, compare, and structure information for analyst review.
- Multi-source research
- Evidence capture
- Review queues
Product-embedded agents
Add task-completing assistance inside web and mobile products.
- In-product actions
- User permissions
- Usage analytics
Architecture
Agentic AI Development architecture for safe production delivery
400+
Projects
3+
Years
20+
Markets
Production-gradeBuilt to scale
01
Planner and router
Breaks an objective into bounded steps and selects only the tools allowed for that user and workflow.
- Bounded plans
- Role-aware routing
- Clear stop conditions
02
Tool and API layer
Connects CRM, support, documents, databases, and internal APIs through validated actions.
- Schema validation
- Scoped credentials
- Idempotent actions
03
Memory and context
Maintains the useful context for a run without exposing unrelated or restricted information.
- Session memory
- Permission filters
- Retention rules
04
Human approval
Pauses high-impact decisions for the right person instead of pretending every action should be autonomous.
- Approval gates
- Escalation queues
- Reason summaries
05
Evaluation and guardrails
Tests behaviour against known scenarios and blocks unsafe, unsupported, or low-confidence actions.
- Scenario evals
- Policy checks
- Fallback responses
06
Observability
Captures plans, tool calls, latency, cost, failures, and outcomes so the system can be operated responsibly.
- Run traces
- Cost controls
- Failure alerts
Process
How we deliver Agentic AI Development
A clear, senior-led process from the first strategy call to launch, so every build ships on time and turns into measurable outcomes.
Step 01
Discover and prioritise
Map the workflow, users, data boundaries, failure cost, and the business outcome before selecting any model or platform.
Step 02
Prototype with real inputs
Validate the highest-risk decisions against representative data, edge cases, and human review requirements.
Step 03
Integrate and govern
Connect approved systems with permissions, audit logs, fallbacks, observability, and clear ownership.
Step 04
Launch and improve
Release in controlled stages, monitor quality and cost, then expand only when the workflow proves dependable.
Production AI SystemDesigned to operate,
Designed to operate,
not just demo
Real AI value comes from dependable integration, controlled behaviour, measurable quality, and an operating model your team can own. We prioritise clearer intent flow, faster decision-making, and measurable improvement across high-value pages.
Every experience is engineered on a modern, proven technology stack, so your product stays fast, secure, and easy to scale. From front-end frameworks to databases and DevOps, we pick the right tool for each layer and keep the codebase clean and maintainable.
Clear business objective
Governed data and access
Evaluation before scale
Clean, maintainable code
Mobile-first & responsive
SEO-ready architecture
Secure and scalable by design
Agentic AI Development solution blueprints
Outcomes backed by shipping quality and measurable growth
Revenue operations
Lead-to-CRM agent workflow
Qualifies inbound demand, researches context, updates CRM fields, and proposes the next action for approval.
Faster triageConsistent recordsHuman approval
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Customer operations
Resolution and escalation agent
Resolves policy-grounded requests and packages complex cases for a specialist with the relevant history.
Grounded answersClear escalationFull trace
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Internal operations
Multi-step reporting agent
Collects approved data, validates completeness, prepares commentary, and routes the report for review.
Repeatable workflowSource checksReview ready
Why teams choose Solvinex for Agentic AI Development
Performance is non-negotiable
We combine product thinking, engineering, integration, evaluation, and governance in one practical delivery system.
Controlled autonomy
Bounded by design
Controlled autonomy
Bounded by design
Observable decisions
Traceable runs
Observable decisions
Traceable runs
Model flexibility
No hard lock-in
Model flexibility
No hard lock-in
Production ownership
Built to operate
Production ownership
Built to operate
Choose the right engagement
Agent Discovery Sprint
- Workflow and risk mapping
- Agent architecture
- Prototype plan
- ROI and rollout roadmap
Most Popular
Production Agent Build
- Agent and tool development
- System integrations
- Guardrails and evaluations
- Controlled production launch
Agent Operations
- Monitoring and incident support
- Evaluation maintenance
- Cost and quality optimisation
- Capability expansion
Agentic AI Development FAQs
Agentic AI describes systems that can pursue a bounded objective through multiple steps, select approved tools, use context, and adapt their next action. A production agent still needs permissions, stop conditions, monitoring, and human escalation.
