AI that completes the work — not just chats about it.
Workflow agents, internal copilots, and document automation that take real tasks off your team's plate. Built under our AI sub-brand Osciva, and measured in hours saved — not tokens spent.
Most "AI" pitches stop at a chatbot that answers questions. The real value is further on — software that does the work a person would otherwise do by hand.
An agent reads the incoming email, pulls the right record, drafts the reply in your house style, updates the CRM, and flags the one case in twenty that genuinely needs a human. It works across your tools, follows your rules, and escalates when it's unsure instead of guessing.
We're past the demo stage. Our agents run in production for fintech, legal, and healthcare clients — and we judge them the way you would: by the hours they give back and the errors they prevent, not by how clever they sound.
The same job. A fraction of the time.
A real example: handling an inbound support-and-billing query, before and after we put an agent on it.
Agents with a job description.
Workflow agents
Multi-step agents that read, decide, act across your tools, and check their own work.
Internal copilots
Assistants grounded in your data that help staff answer, draft, and decide faster.
Document processing
Extract, classify, summarise, and route documents and email at volume.
Human-in-the-loop
Approval steps on critical actions, so the agent drafts and a person confirms.
Evals & guardrails
Measured accuracy against a real test set, plus rules that keep it on the rails.
Cost dashboards
Token-usage monitoring and smart routing so running costs never surprise you.
From task to autopilot.
Find the task
We pick one high-volume, rules-based workflow worth automating first.
Build the eval
Real examples and a scoring set so "good" is defined before we build.
Build & tune
The agent, its tools, guardrails, and the human-approval path.
Roll out
Ship behind review, watch the dashboard, expand to the next task.
Deep where it counts. Fluent everywhere else.
We build on Claude, GPT, and open models with orchestration that fits the job. Our depth is in shipping agents that survive contact with production — guardrails, evals, and observability included.
Model- and vendor-neutral. Anthropic, OpenAI, Google, or self-hosted open weights — we pick what fits your accuracy, cost, privacy, and latency needs, and we'll happily work inside your existing AI stack.
Models
6Orchestration
5Infra & serving
7Data & memory
5Observability
5Integrations
6"The Osciva team rebuilt our contract review pipeline from scratch. We're now processing 4,000 contracts a day with the same headcount."
Before you ask.
A chatbot answers questions. An agent completes work. It can read a document, decide what to do, call your tools (CRM, email, database, APIs), take an action, check the result, and escalate to a human when it's unsure. We build the second kind — measured by tasks completed and hours saved, not by how chatty it is.
Every agent we ship has guardrails. High-stakes actions go through a human-in-the-loop approval step; the agent drafts, a person confirms. We log every decision so it's auditable, and we tune against a real eval set so accuracy is measured, not assumed. The goal is to remove the boring 80%, not to gamble on the critical 20%.
We design cost in from the start — a cheap classifier routes easy work to small models, and only genuinely hard tasks hit a frontier model. On one project this cut running costs ~70% with no accuracy loss. You get a token-usage dashboard so spend is never a surprise.
Most things with an API — CRMs, email, Slack, Google Workspace, databases, your own internal systems, payment and messaging platforms. If it has an API or a webhook, an agent can usually work with it. We map your actual stack during discovery.
Often paired with.
Got a task your team
does on repeat?
Tell us the workflow that eats your week. We'll come back with whether an agent can take it — honestly — and a plan, within one business day.