Custom AI solutions for real businesses

AI agents built around your workflows, not a generic platform

We design, build, and deploy custom AI agents that qualify leads, update CRMs, answer customers, prepare reports, and automate the repetitive work your team already does every day.

Talk to sales View agent playbooks
100+ common integrations

Workflow automations we can build first

Practical AI agents for everyday business workflows

Start with one high-friction process, launch a controlled agent around it, then expand to the next workflow once value is proven.

Marketing

Turn ad clicks into qualified conversations

Capture leads from campaigns, understand intent, answer product questions, and pass sales-ready buyers to your team with full context.

I saw your ad — can you help me choose the right plan?
Source: Meta ad
Intent: High
Qualified 92%
Sales pipeline

Research, follow up, and keep deals moving

Enrich prospects, draft personalized replies, remind reps, and keep CRM stages clean without manual chasing.

Hot lead
Follow-up due
Support

Resolve customer issues with safe escalation

Classify conversations, draft answers from your knowledge base, summarize issues, and escalate sensitive cases to the right person.

Suggested reply ready
Operations

Turn reporting and approvals into daily workflows

Collect updates from tools and sheets, summarize blockers, prepare reports, and route approvals before work gets delayed.

Daily report
Commerce

Answer orders, returns, and product questions

Connect Shopify, WhatsApp, and helpdesk tools so customers get fast answers without waiting for a support rep.

Order status checked
Compliance

Keep risky actions behind approvals and logs

Route refunds, pricing changes, policy exceptions, and sensitive customer decisions through approval gates with audit history.

Model choice, quality checks, and human control

AI agents your team can trust before they go live

Every workflow is tested, routed through the right model, and protected with approval rules before it touches real customers or business-critical systems.

Built to work with OpenAI Anthropic Gemini Llama Custom APIs
01

Choose the right brain

Different workflow steps can use different models based on speed, cost, reasoning depth, context length, or safety.

Qualification Documents Reply drafting Internal rules
02

Test before launch

Agents are tested against real examples, edge cases, and workflow-specific evaluation checks before production use.

Lead accuracy94%
Reply quality91%
Risk handlingReview
03

Keep humans in control

Low-confidence, sensitive, or high-impact actions can pause for approval instead of running blindly.

Confidence below 85% Ask for approval Log reason Escalate safely

INDUSTRY PLAYBOOKS

Built for the customer workflows teams repeat every day

Launch a focused agent for one use case, then expand the same playbook across teams, channels, and tools.

Security & governance at every layer

Custom agents need serious control. We design workflows with access limits, audit trails, escalation paths, and human approvals from day one.

Monitoring dashboards

Visibility into each agent’s activity, cost, errors, and business impact.

👥

Role-based access

Decide who can approve, edit, deploy, and review specific workflows.

Data boundaries

Agents only access the systems and data needed for the selected workflow.

Version control

Track prompts, rules, tools, and workflow changes with rollback paths.

Audit logs

Every tool call, decision, and escalation can be logged for review.

Human approval

High-risk actions wait for approval; low-confidence cases are escalated.

🔒

Safe integrations

Least-privilege API access for CRM, email, sheets, and internal systems.

PII handling

Mask or avoid sensitive customer data where the workflow does not need it.

Escalation rules

Clear fallback paths when agents are uncertain, tools fail, or customers complain.

Start with one workflow

Put your business workflows in control of AI agents.

Tell us the repetitive process your team hates most. We will map the workflow, identify automation points, and suggest the safest first agent to build.

Typical engagement 2–3 weeks to first workflow
01
Workflow audit

We review your process, tools, approvals, and edge cases.

02
Agent prototype

We build the first version, test quality, and tune the routing.

03
Launch with controls

We add approvals, escalation paths, monitoring, and handover.

Playbooks included Human approval ready Business tool integrations