Build your agent workforce with the team that runs one
AgentTask Consultancy is the services arm of AgentTask: we design, build, and operate AI-agent workflows — on our platform and in your own stack. Every engagement ships working software plus the playbooks to keep running it without us.
Agent discovery workshop
Map your real workflows to what agents can own today: we inventory the busywork, rank automation candidates by value and risk, and prototype the first agent live against your backlog.
You get: A prioritized use-case roadmap with success metrics, plus a working first prototype.
Agent readiness audit
A structured assessment of your workflows, data quality, integration points, and governance appetite before you commit to building — where agents will pay off first, and where they will not.
You get: A readiness report with a ranked pilot shortlist and the guardrails each one needs.
Agent pilot build
One scoped workflow taken to production quality against your real systems: human-in-the-loop checkpoints, baseline metrics agreed up front, and an honest go/no-go at the end.
You get: A working pilot, its evaluation framework, and a production recommendation.
Codebase migration by agent fleet
Legacy modernization run as governed agent work: agents analyze the old codebase, document undocumented systems, and convert it incrementally — every run claimed, reviewed, and on the audit trail. Never big-bang.
You get: Migrated code landing through your normal review, with generated documentation and dependency maps.
MCP server development & integration
Model Context Protocol servers built as secure gateways to your internal systems — ERP, CRM, databases — with the auth, logging, and access control to let AI tools in safely. MCP is the protocol AgentTask itself speaks in both directions.
You get: Deployed MCP servers with an access-control layer and integration documentation.
AI coding-tool rollout & enablement
Claude Code and Cursor across a real team — rules files, slash commands, agent definitions, MCP integrations into your internal systems, review hooks, and adoption you can measure. Rollout, not just licenses.
You get: A configured tooling baseline, a trained team, and adoption telemetry.
Custom agents & automations
Purpose-built agent workflows integrated with the platforms you already run — inside AgentTask (crews, triggers, board automations) or entirely outside it. You own the code and the IP.
You get: A production agent system with monitoring, handed over with its playbook.
Embedded AI engineering
A senior engineer — or a small pod — inside your sprints, your codebase, and your cloud, directed by your roadmap. The forward-deployed model: we make it work in your environment, you keep the architecture.
You get: Shipped production systems in your infrastructure, on your priorities.
Types of agents we build
The agent landscape in the language buyers actually use — what each type owns, where it stands in production, and how we build it responsibly. Every build ships with tiered autonomy, human-in-the-loop gates, an audit trail, and an evaluation harness as standard.
Coding & software agents
Agents that write, review, refactor, and land code from a ticket — the most-used agent category in day-to-day work.
Customer support agents
Conversational agents resolving tickets end to end across chat and email — the #1 production use case in industry surveys.
Research & knowledge agents
Agents that search, read, and synthesize across the web and your internal corpus into grounded, cited briefs.
Data & analytics agents
Text-to-SQL and BI agents that query your warehouse, build analyses, and explain what changed.
Workflow & orchestration agents
Digital coworkers on a queue: agents coordinating multi-step processes across your systems — the fastest-growing enterprise pattern.
Document-processing agents
Agentic document intake: read mixed-format documents, extract, validate, and act — the successor to OCR pipelines.
Sales & CRM agents
Outbound research, lead qualification, and CRM hygiene — with an honest caveat about full autonomy.
QA & testing agents
Agents that generate, run, and self-heal end-to-end test suites — a category analysts now track on its own.
Ops & incident agents
SRE agents that investigate production incidents — logs, metrics, traces — and propose or execute remediation.
Security & SOC agents
Autonomous alert triage and investigation for security operations — moving from concept to practical adoption.
Browser & computer-use agents
Agents that drive real user interfaces where no API exists — the RPA replacement for portals and legacy systems.
Codebase-migration agent fleets
Multi-agent systems that analyze, document, and translate legacy code at scale — the pattern behind the industry's largest modernization wins.
How engagements run
The ladder de-risks itself: each step is small, fixed-scope, and earns the next. Start wherever your situation actually is.
Workshop
Find the highest-value agent work.
Audit
Confirm readiness and the guardrails.
Pilot
Prove one workflow end to end.
Production
Scale what the pilot earned.
Retainer
Keep it measured and improving.
How we work
- You own everything we build — code, integrations, IP, and the playbooks to run them.
- Deliverables persist: rules files, agent definitions, and MCP integrations keep working after we leave.
- Every engagement runs on a governed backlog with a live audit trail — the same discipline we sell.
- No big-bang rewrites: migrations land incrementally through your normal review.
Frequently asked questions
No. MCP servers, coding-tool rollouts, and custom agents are regularly built entirely in your own stack. Engagements that run on AgentTask get its governed backlog and audit trail as part of the deal, but the product is never a prerequisite.
Almost always with the discovery workshop or the readiness audit — a small, fixed-scope step that de-risks everything after it. Email us and we will suggest the right entry point for your situation.
You do. Code, integrations, documentation, and playbooks are yours. We are accountable for the outcome — not a dependency you rent forever.
Workshops are days; audits two to four weeks; pilots typically eight to twelve weeks; migrations proceed in fixed-scope waves sized to your codebase. Embedded engineering is a monthly arrangement you can stop at any time.
Scoped and quoted up front: workshops and audits are fixed-price, builds are scoped per statement of work, and embedded engineering is a flat monthly rate. No hourly meters.
Or start from the contact page — we reply to every inquiry.