We are an AI agent development company for B2B teams. Agents built with guardrails, evals, and a business KPI, not proof-of-concept theater.
B2B AI agent problems
AI agent services
Our AI Agent Development Services are scoped by shipped output, not tokens: AI SDR agents wired to your CRM, tier-1 support agents, research and account-plan agents, internal ops agents, RAG over private knowledge, and multi-agent orchestration.
Custom AI agents for B2B ship with evals, guardrails, monitoring, and human review on your cloud. It is the same discipline behind Introzy’s outbound build and the RepairDesk funnel that hit 280% of its MQL goal.
Why teams switch
Evals run before every deploy, on every prompt and model change, so regressions get caught in staging. Guardrails are a product, not an afterthought: validation aligned to OWASP guidance on prompt injection, the top LLM risk.
Marketing and engineering sit under one roof, so the agent and the pipeline it feeds are built together. And the engagement runs month to month, with a 30-day notice either way.
The first 90 days
Days 1 to 14: paid discovery locks the use case, data access, the eval set built from real cases, and the KPI target.
Days 15 to 45: agent v1 runs in staging with RAG connected, guardrails live, and human review in place.
Days 46 to 75: pilot users work with the agent and KPI reads arrive weekly.
Days 76 to 90: production rollout, the v2 roadmap, and a board-ready readout. Enterprise AI agent implementation moves this fast only when scope is locked first.
Scope and measurement
Discovery is fixed price. Build work runs time and materials on exploratory modules, then fixed price once RAG, agent v1, and guardrails are locked. The post-launch pod covers prompt tuning, model swaps, and eval expansion, with market benchmarks on our pricing page.
Agentic AI development gets canceled for unclear business value: Gartner expects over 40 percent of agentic projects dropped by 2027. We report cost per action, eval pass rate, and the KPI in the contract.
Enterprise build results
One finds the leaks. The other proves the agent with users in 30 days.
An always-on AI rep that books B2B meetings in weeks.
AI agent delivery process
B2B AI agent fit criteria
Good fit: B2B companies from $2M to $100M in revenue, with $50K to $500K agent budgets, a clear use case, data access, and a KPI owner.
Not a fit: no use case beyond wanting AI, consumer chatbots, or autonomy with no guardrails.
Questions buyers ask on the first call
B2B growth resources
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We build the agent, the guardrails, and the pipeline it feeds, and tie it all to one number.
