Task agents
Single-purpose agents for research, data entry, report generation, email triage and scheduling.
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Agentic AI & Autonomous Workflows
AI agents go beyond answering questions: they read emails, look up records, fill forms, call APIs and hand work to the next step. We design agents that take real work off your team while keeping people in control of every important decision.
What this covers
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Who it is for
We build task-specific agents and multi-agent systems with clear permissions, approval gates and complete logs. Each agent has a narrow job, tested tools and measurable success criteria, which is what makes agentic AI dependable in production rather than a demo.
Discuss your requirementOperations teams handling repetitive multi-step back-office work
Sales teams that want research, enrichment and follow-ups automated
Finance teams processing invoices, reconciliations and approvals
Product companies adding agent features to their SaaS
Capabilities
Single-purpose agents for research, data entry, report generation, email triage and scheduling.
Coordinated agents that split complex work, such as intake, verification and filing, and pass context between them.
Secure connections to your CRM, ERP, databases, spreadsheets, email and browser actions.
Event-driven agents that react to new orders, tickets or documents and complete the workflow end to end.
Agents that prepare recommendations with evidence, leaving the final approval to a person.
Permission scopes, spend limits, approval steps, full traces and replay for every agent action.
How we work
You always know what happens next, who is responsible and what you will receive at each stage.
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
We document the task, systems touched, exceptions and approval points.
Roles, tools, permissions and success metrics are defined.
Agents are built and tested against historical cases.
Agents run with human approval while accuracy is measured.
Autonomy is increased step by step with live monitoring.
Deliverables
Technology & standards
We recommend tools based on your scale, budget and existing systems, not on what is fashionable. Every choice is explained in the proposal.
Engagement models
A 3–4 week pilot on your own data with agreed accuracy targets, so you see real results before scaling.
Hardened integration, guardrails, monitoring and admin controls, delivered in milestones with a fixed quote.
Ongoing prompt and model tuning, evaluation runs, cost monitoring and feature additions on a monthly plan.
How pricing works: AI projects are priced in two stages: a fixed-price proof of concept, then a production quote based on what the pilot proves. Model and API usage costs are estimated upfront and billed at actuals.
Get a quoteFAQs
A chatbot answers questions. An agent takes actions: it can look up data, update records, send messages and complete multi-step tasks using tools you permit, then report what it did.
We give each agent the minimum permissions it needs, add spending and action limits, require human approval for sensitive steps and log every action. Agents start in a supervised mode and gain autonomy only after they prove accurate.
High-volume work that mixes rules and judgement: lead research and enrichment, invoice processing, report preparation, ticket triage, onboarding checklists and data reconciliation are common starting points.
Yes. Agents connect through APIs where available, and through secure browser automation for older systems that lack APIs.
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