Services

AI agents that fit how your team actually works.

We build three categories of agent — customer support, sales and lead-qualification, and internal operations. We integrate them into the tools your team already uses. We measure impact in hours saved per week.

Customer support Sales & lead-qualification Internal operations

What we build

Three categories of agent.

01 — Customer support

Customer support agents

Tier-1 support follows patterns. Status checks, password resets, return policies, common how-tos — your team spends hours every week answering the same questions in different wording. An agent learns the patterns, handles the volume, and routes the genuinely tricky cases to a human.

Example workflows

Inbox triage and auto-response for tier-1 questions across email, chat, and forms
Smart routing by topic, urgency, and customer segment
Knowledge-base answers grounded in your real documentation
Status-check responses pulled from your CRM or order system

Typical impact

Cuts repetitive tier-1 load by 70–80%, depending on volume and the quality of your existing knowledge base.

02 — Sales & lead-qualification

Sales and lead-qualification agents

Inbound leads need fast, useful first contact. An agent answers questions in real time, qualifies fit against your criteria, and routes hot prospects to a human while the interest is fresh. Your team spends time on the conversations that actually need a person.

Example workflows

Real-time response to inbound web-form and chat leads
Fit qualification against your ideal-customer profile and current capacity
Question-answering on pricing, scope, and timelines using your real sales materials
Calendar hand-off to a human rep once a lead is qualified

Typical impact

Captures 30–50% more inbound qualified leads, depending on volume and how strict your fit criteria are.

03 — Internal operations

Internal operations agents

Most operational workflows have a slow step — a document to read, a record to extract, a data field to compare — that bottlenecks the rest. An agent runs that step at the same quality your team would, faster, and at any hour.

Example workflows

Document processing: invoices, contracts, intake forms, scanned PDFs
Data extraction and validation from unstructured text into structured fields
Cross-system workflow orchestration — moving records from one tool to the next under business rules
Internal-question agents on top of your runbooks, policies, and SOP documents

Typical impact

Time savings depend on the specific workflow; a single agent typically replaces 20–40 hours per week of manual data work, depending on volume.

How we work

From discovery to deployment in weeks.

Discover

What happens

We sit down with the team that runs the workflow. Watch how it works today, where it breaks down, where the friction lives.

What's delivered

A workflow brief — current process, automation opportunity, rough fit assessment, and a concrete first agent we'd build.

How long

Two days to a week, depending on how many people we need to talk to.

Design

What happens

We spec the agent — capabilities, integration points, escalation paths, success metrics. We agree on what "working" means before we build.

What's delivered

A short technical spec your team can review and either approve or push back on. No surprises during build.

How long

A few days. Faster on simpler workflows.

Deploy

What happens

We build the agent, integrate it with your tools, and train the team that will work alongside it. We ship to a small pilot before going wide.

What's delivered

A working agent in production, integrated, with a runbook your team can reference. Plus a clear off-switch if anything goes wrong.

How long

One to three weeks for a pilot, depending on integration complexity.

Optimize

What happens

We measure impact against the success metrics from Design. We tune what's not working. We expand scope when the foundation is solid.

What's delivered

Weekly metrics review during the first month, monthly after that. Concrete recommendations for what to ship next.

How long

Ongoing if you want — see Engagement models below.

Engagement models

Three ways to work with us.

Pilot

Two-week pilot

Fixed scope, fixed price. One workflow, fully built and integrated. Designed for first-fit projects where you want concrete proof before committing further.

Quoted after the workflow audit, based on integration complexity.

Ongoing partnership

Multi-month partnership

Multiple workflows over a 3–6 month engagement. Spec a roadmap together, ship one workflow at a time, expand as wins land.

Per-engagement quote against the roadmap.

Retainer

Monthly capacity

Reserved engineering time for ongoing tuning, new agents, and small improvements. For teams already running production agents that benefit from continuous iteration.

Monthly retainer, scope reviewed quarterly.

FAQ