A copilot saves a knowledge worker minutes. An orchestrated agent estate removes the process. We build the second kind — with the authority limits, observability and rollback that make it safe to run in production.
The gap between an agent demo and an agent in production is not model capability. It is memory, tool access, failure handling, authority boundaries and the ability to explain — six months later — exactly why the system did what it did.
We break a business process into agent roles, tools, memory scopes and handoffs — then decide deliberately what stays deterministic. Not everything should be an agent, and the discipline to say so is most of the value.
Planner, executor and reviewer patterns with explicit state, retry semantics, budget ceilings and escalation to humans. Built on your choice of framework and model provider, with no single-vendor lock-in.
Secure, permissioned access to your systems of record — ERP, EHR, CRM, ticketing, data platform — through typed interfaces with least-privilege scopes rather than screen scraping.
Retrieval, working memory and long-term state designed for accuracy and cost. Context is expensive; we engineer what the agent is allowed to remember and what it must look up.
Task-level evals, trajectory tracing, cost and latency telemetry, and regression suites that run before every prompt or model change. Agents drift; the harness catches it.
Explicit action limits, approval gates, immutable action logs and a kill path per agent. Designed with our AI governance practice so the estate is auditable from day one.
Our agentic engagements draw on DROIT Labs and the Agent Factory — Adroitent's internal environment for composing, testing and hardening enterprise agents. Reference agent patterns for finance, service operations, HR, procurement and engineering functions are already built, evaluated and instrumented, which removes the first six weeks from most programmes.
AATMa and AARAM provide the orchestration and assurance spine underneath: agent lifecycle management, evaluation harnesses and runtime controls that are consistent whichever model or framework a given use case demands.
Service operationsIntake, triage, enrichment, resolution and closure across ticketing and knowledge estates.
Finance operationsInvoice matching, exception handling, reconciliation, close support and variance narrative.
Revenue operationsLead research, qualification, CRM hygiene, proposal assembly and renewal preparation.
EngineeringBacklog grooming, code review, test generation, incident triage and runbook execution.
Talent acquisitionSourcing, screening, scheduling and pipeline management, productised in TalentAlign.
Regulated document workflowsClaims, submissions, contracts and clinical documentation, where extraction, reasoning and evidence must travel together.
| Stage | Timebox | Exit criteria |
|---|---|---|
| Process selection | 1–2 weeks | A process with volume, a measurable cost line and tolerable failure modes is chosen and baselined |
| Agent design | 2 weeks | Roles, tools, memory, authority limits and human gates agreed and documented |
| Pilot build | 4–6 weeks | Working agent on real data in a controlled scope, with evals and tracing live |
| Shadow run | 2–4 weeks | Agent runs alongside the human process; accuracy, cost and escalation rates measured against baseline |
| Production & scale | Ongoing | Authority widened in steps; second and third processes onboarded onto the same orchestration spine |
No, and we would advise against it. We build behind an abstraction so routing decisions are made per task on cost, latency and quality, and so a provider change is a configuration change rather than a rebuild.
Three mechanisms: bounded authority that defines the action set an agent may take unsupervised, budget and step ceilings enforced by the orchestrator, and approval gates on any action that is irreversible or crosses a value threshold.
In most of our engagements the human role moves to exception handling, gate approval and improvement of the agent estate. We design the gates with the team that runs the process, which is also the fastest route to adoption.
Talk to an Adroitent AI lead. We will come with a point of view on your estate, not a generic capability deck.
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