Agents that,
actually finish the task.
We design, build and deploy multi-step AI agents — tool-using, self-correcting, human-in-the-loop where it matters. Senior engineers, sprint-based delivery, measurable task completion.
4.9/5 · 180+ teams shipping with our engineers · NDA on request
Zia AI Agents Development animated chat mockup
Zia · AI Agent Expert
Online · responds in ~2s
— What We Do
Six agent patterns, one delivery team.
From single-tool assistants to fully autonomous multi-agent systems, we ship the pattern that fits the job — never the other way round.
Task Automation Agents
Single-purpose agents that complete a defined workflow end-to-end, no human step needed.
CRM
Ticketing
Multi-Agent Systems
Orchestrated agent teams that plan, delegate and cross-check each other’s work.
Planner
Worker
Critic
Role-based orchestration
Tool-Using & API Agents
Agents that call your internal APIs, databases and SaaS tools reliably and safely.
Function calling
Auth scopes
Rate-limit aware
Human-in-the-Loop Agents
Agents that act autonomously but pause for approval on high-stakes or ambiguous steps.
Approval gates
Escalation
Audit trail
- Featured · Autonomous
Agents that,
take action, not just suggest.
Multi-step agents that plan, call your tools (CRM, ERP, ticketing, payments), self-correct on failure, and close the loop — with human-in-the-loop guardrails and full traceability.
Tool use
Planning + reflection
Memory & state
Eval harness
Human handoff
1
PLAN
Decompose the goal into steps
2
ACT
Call tools, APIs, and systems
3
VERIFY
Self-check, escalate, or retry
Outcome
↑ 4.6x tasks closed without human intervention ↓ 41% average handling time
14 years · 290+ bots
Built to,
finish the task, not draft a reply.
21+
Agent systems shipped
across 9 industries
14yrs
Years in business
founded 2012
95%
Engagement extension
clients renew or expand
<2wk
Kickoff time
brief → first standup
Capabilities & stack
Boring orchestration that
completes tasks on time.
We pick the agent framework and model for the job, not the trend. Closed-source where reasoning quality matters most, open-source where you need control. Always evaluated, never vendor-locked.
How we pick
01
Eval before autonomy
Every agent run through a task-specific harness before it gets write-access to any tool.
02
Cost & latency budgeted
Per-task and per-tool-call cost captured upfront so autonomy doesn’t mean runaway spend.
03
Swap-ready orchestration
Framework-agnostic core so you can switch models or tools without a rewrite.
04
Guardrails by default
Scoped tool permissions, approval gates, and rollback baked into every agent.
LANGUAGE MODELS
GPT-4o
GPT-4.1
Claude Sonnet 4.5
Claude Opus 4
Gemini 2.5 Pro
Llama 3.1 / 3.3
Mistral Large
DeepSeek-V3
Qwen 2.5
Phi-4
AGENT FRAMEWORKS
LangGraph
CrewAI
AutoGen OpenAI Agents SDK
Semantic Kernel Pydantic AI
Vercel AI SDK
DSPy
TOOL USE & INTEGRATIONS
Model Context Protocol (MCP)
Zapier Custom function-calling APIs CRM/ERP connectors
Webhooks
OBSERVABILITY & EVAL
LangSmith
Langfuse
Helicone
Braintrust
Ragas
TruLens
OpenLLMetry
PromptLayer
Voice & omnichannel
Twilio
Vonage
Deepgram
ElevenLabs
Whisper
WhatsApp Cloud
Slack
Teams
Intercom
Zendesk
Industries
Agents, tuned for
your industry.
Every industry has its own systems, edge cases and escalation rules. We bring domain playbooks, not blank slates — and wire agents into your data and tools on day one.
Healthcare
Prior-authorization and claims-processing agents
- Patient-scheduling & follow-up agents
- Clinician documentation agents with approval gates
Finance & Fintech
Dispute-resolution and chargeback agents
- KYC document-verification agents
- Advisor-support agents with audit-ready logs
Retail & E-commerce
Order-management and return-processing agents
- Inventory reconciliation agents across channels
- Personalized outreach and win-back agents
Logistics
Exception-handling and re-routing agents
- Carrier and vendor negotiation agents
- Driver-dispatch and ETA-update agents
Engagement models
Pick how you want to
ship agents with us.
Three ways to engage — all senior teams, all sprint-based, all measured against the task-completion outcomes we agree on before kickoff.
Fixed-scope
Workflow Audit
Best for teams unsure which workflows to automate first.
- Process mapping across your top workflows
- Automation feasibility & ROI scoring
- Tool/API access audit
- Prioritized agent roadmap
Most popular
Fixed-scope
Fixed-Scope Build
Best for a specific agent with a clear brief.
- Fixed scope, fixed price, fixed timeline
- Discovery → design → ship in 6–12 weeks
- 90-day post-launch support included
- Eval harness & handover documentation
Embedded
Staff Augmentation
Plug in vetted AI engineers into your team.
- 48-hour shortlist of senior candidates
- Time-zone aligned, full-stack or specialist
- Replace or extend at any sprint boundary
- Direct lines to your eng manager
FAQ
The questions
everyone asks before kickoff.
Still curious? Ask Zia in the hero chat — or book a 30-min strategy call with a senior AI engineer.
Do you build with closed models (GPT, Claude) or open-source?
Both — we pick per agent based on reasoning quality needed, latency, and cost. Closed models (GPT-4o, Claude) often win for complex planning steps; open-source (Llama, Qwen) works well for high-volume, simpler tool calls where cost matters more. We benchmark before recommending.
How do you prevent an agent from taking a wrong or harmful action?
Every agent runs inside scoped tool permissions, so it can only call what it’s explicitly allowed to. High-stakes or ambiguous steps route through human-approval gates, and every action is logged for audit and rollback.
Can the agent use our internal tools, APIs and data?
Yes — we integrate directly with your CRM, ERP, ticketing system, or internal APIs via function calling or MCP, with proper auth scoping. We audit access requirements during the workflow audit before any build starts.
What happens when the agent can't complete a task?
It escalates to a human with full context — what it tried, what failed, and why — instead of guessing or looping. This handoff logic is built into every agent by default, not bolted on later.
How do you measure whether an agent is actually working?
We define task-completion rate, escalation rate, and cost-per-task upfront, then track them through a dedicated eval harness before and after launch — so you see real numbers, not anecdotes.
What about security, compliance and audit trails?
Every tool call, decision, and escalation is logged for full auditability. For regulated industries (healthcare, finance) we align agent permissions and data handling to HIPAA/SOC2 requirements from day one.
Will the agent work across voice, WhatsApp, Slack and Teams?
Yes — the reasoning core is channel-agnostic, so the same agent can operate over voice (Twilio/Vonage), WhatsApp, Slack, or Teams without rebuilding logic per channel.
What does it cost?
Cost depends on agent complexity, number of tools, and volume of tasks — simple single-tool agents cost far less than multi-agent orchestration. We share a fixed-price estimate after the workflow audit, with no surprise billing.
Healthcare · HIPAA-ready since 2012
Let's build a agent worth trusting.
Send your brief — a senior AI engineer (not a sales rep) replies within 24 hours with a scoped plan, tool/model recommendation and a fixed timeline.
- A 30-min discovery call with a senior AI engineer
- Fixed-scope proposal with timeline & milestones
- Agent architecture & tool-access recommendation
- Reference workflow diagram (yours to keep)
- Two case studies from your industry
