Innocito designs, builds and runs AI agents for the enterprise, from finance and HR to clinical, industrial and software workflows. We build the harness around the model so agents finish work inside your systems, and Innoverse makes every one faster to build and safer to run.
Agent engineering, or AI agent development, is the discipline of building AI agents that complete real work reliably in production, in any enterprise function: finance, HR, sales, customer operations, clinical and industrial workflows, and software delivery itself. It covers the harness around the model: the context the agent sees, the tools it calls, the memory it keeps, how several agents are orchestrated, and the loop that runs and verifies the work, with a human approving where it matters. Innocito delivers it as a service, forward deployed, and complements it with Innoverse, its agentic software factory, so the harness, guardrails and evidence are there from day one.
Each one is a practice we deliver on every agent, and a component of Innoverse that already does it.
We build the runtime that turns a model into an agent: the tool layer, verification loops, memory, limits and audit trail. When an agent makes a mistake, we fix the harness so it never repeats it.
We decide what the agent sees at every step: documents, business rules, prior actions and tool results, trimmed to the task. Good context is what separates a reliable agent from a chatbot with access.
We design the APIs and MCP tools an agent calls so it uses them correctly: clear names, narrow scopes, typed inputs and outputs, and errors the agent can recover from.
We define what an agent remembers within a task, across sessions and across the team, and where that lives: task boards, files, vector stores or the project context itself.
We split work across agents and hand it off cleanly: planner and workers, producer and verifier, parallel worktrees, each with a defined stopping condition.
We design the trigger, run, verify and repeat cycle so an agent finishes work unattended, with a verifiable definition of done and a human gate where it matters.
Examples across industries and functions: healthcare, home care, transportation, fintech, wealth management, SaaS, finance, HR, sales, customer operations, manufacturing and utilities. Each runs on the same harness, with a person approving the decisions that matter.
Listens to the doctor’s dictation or the ambient encounter, drafts the SOAP note, suggests ICD-10 and CPT codes, drafts orders and referrals, and writes to the EMR via FHIR only after the clinician signs. Built on the cloud-native EMR Innocito delivered for a healthcare provider, where documentation time fell 50%.
Matches caregivers to visits by skills, location and authorisation hours, fills last-minute gaps, confirms visits from EVV data and flags missed care to the care manager.
Watches telemetry and schedules, predicts maintenance, re-plans routes around incidents and resolves shipment exceptions with carriers, escalating anything with cost or customer impact.
Verifies identity and documents, screens against watchlists, scores risk and routes edge cases to compliance, with every decision traceable for audit.
Prepares client reviews from portfolio, market and goal data, drafts rebalancing proposals and meeting notes, and leaves every recommendation for the advisor to approve under suitability rules.
Plan, build, test, secure, operate and govern a release: the six stage agents of the Innoverse Suite, used on client projects every day.
Matches invoices to POs and receipts, resolves exceptions with suppliers, posts to the ERP and routes anything over policy to a finance approver.
Screen applications, schedule interviews and draft structured feedback for recruiters; answer policy questions, draft offers and onboarding plans and update the HRIS, with HR sign-off on anything that touches pay or contracts.
Reads the RFP, pulls prior answers and evidence from your knowledge base, drafts a compliant response and flags gaps for the bid team.
Resolves tier-one requests across email, chat and CRM, executes refunds and changes inside policy limits, and hands anything outside them to an agent with the full context.
Monitors line and sensor data, predicts failures, raises work orders in the CMMS and proposes schedule changes that a supervisor approves.
Triages outage and meter alerts, correlates them with asset and weather data, dispatches crews and keeps the regulator-ready incident record.
The patterns we see when teams try to take agents past the demo.
Today: Prompts tuned on samples meet production context, edge cases and stale documents.
With Innocito: Context engineering sets what the agent sees at each step, and evals run on your real cases before release.
Today: Broad API access, vague tool names and errors the agent cannot recover from.
With Innocito: Tool design with narrow scopes and typed contracts, served through MCP servers with guardrails.
Today: No stopping condition, no retries, no memory between runs.
With Innocito: Loop engineering: trigger, run, verify, repeat, with a human gate only where it matters.
Today: Duplicate harnesses, no shared context, no way to compare or govern them.
With Innocito: One harness on Innoverse, shared context in InnoFabric, every model call through InnoGateway.
What clients measure once agents are engineered rather than prompted. Delivery and cost ranges are consistent with McKinsey, DORA and UC Berkeley research; the rest come from Innocito engagements.
Agents carry work between gates instead of waiting in queues.
AI-assisted work with human review in hours, not days.
InnoGateway routes each request to the model that measured best.
Shared context, tools and evidence across every agent.
Every model call, tool call and approval in the evidence log.
Approval built into the loop where the risk is.
Every agent we build runs on Innoverse, Innocito’s agentic software factory: the harness, shared context, model gateway, guardrails and evidence log are already there, so an engagement starts with building your agent rather than the plumbing underneath it. See the Innoverse Suite
Innoverse covers the whole lifecycle and keeps the evidence. Every agent we ship comes with evals, guardrails, human approval gates and full tracing through Agent Assurance.
Clients across financial services, healthcare, mobility, commerce and technology, in the United States and India.
Tell us the process you would hand to an agent if you trusted it. An Innocito team, forward deployed, builds it on Innoverse in your cloud and hands it over.