AI Agent Development
A custom AI agent trained on your business — running 24/7, measurable, and yours.
Your business has processes. Quotes, scheduling, customer follow-up, vendor coordination, expense categorization, document review. We build an AI agent that handles them — trained on your SOPs, wired to your tools, with a dashboard you can actually read. Cloud-hosted by default. Eval harness included so you know it works. Human-in-the-loop guardrails on every action that touches money or customers.
Compare flagship offers
Five engagements. Pick what matches your situation.
| Engagement | Price | Timeline | Mode | Best for | |
|---|---|---|---|---|---|
AI Implementation Consulting | from $1,000 | 2 weeks | Audit | Don’t know where AI fits | View |
AI Agent DevelopmentYou’re here | from $2,600 | 4 weeks | Build | Repetitive ops work eating your week | — |
AI Voice Agent | from $1,800 | 3 weeks | Build | Missed inbound calls | View |
AI Lead Engine | from $2,200 | 4 weeks | Build | Targeted outreach without spam | View |
Agent Operations Retainer | from $600/mo | Monthly | Operate | Already shipped — keep it sharp | View |
A trained agent that knows your business — working 24/7 with humans in the loop.
Custom-built. Not off-the-shelf.
We build AI agents the way real software gets built: scoped to one job, trained on your SOPs, wired to the tools you already use, with an eval harness that proves it works. Cloud-hosted by default. Hard monthly spend cap. Approval queue for anything that touches money or customers. You get a dashboard you can actually read — and an agent that gets better, not flakier.
The architecture, end to end
No black boxes. Here\u2019s the actual shape of the system you get \u2014 with the guardrails, eval loops, and human approvals where they belong.
AI Agent architecture
Signal in → grounded reasoning → tool use → human-approved action.
Real use cases we ship
Quote & proposal generation
Inbound request → trained on your pricing → drafts quote → you approve → sends.
Customer follow-up
Day-3, day-7, day-30 nurture sequences personalized to each conversation.
Invoice + expense categorization
Auto-codes and posts to QuickBooks/Xero. Flags anything weird for human review.
Scheduling & coordination
Calendar-aware booking, rescheduling, and confirmation across your team and clients.
Document review & extraction
Contracts, intake forms, vendor docs — pulls fields, flags risk, files cleanly.
Internal Q&A on your SOPs
Slack / Teams bot trained on your playbooks. Cites source. Says "I don’t know" honestly.
The dashboard you actually use
Every flagship engagement ships with a stylized control panel \u2014 live activity, eval pass rate, spend cap, and an approval queue you can act on from your phone.
Sage Agent — Operations
Real layout from a production deployment (anonymized).
- 12sQuote drafted for ACME Corp — $4,250 — sent to approval queue
- 48sCustomer follow-up sent: 6 leads · day-3 nurture
- 2mVendor invoice categorized & posted to QuickBooks (auto)
- 4mRefund $312 — over $250 threshold — awaiting human review
- 6mScheduling: rescheduled 2 appointments after weather alert
- 8mEval run: 42/44 passed (2 edge cases flagged for review)
- Refund request > $250 — review
- Outbound email batch — 12 ready
- 1 more queued
Estimate your monthly run cost
Forecast your monthly run cost
Drag the slider. Real cost is capped in production — you set the ceiling.
What you get
How the agent thinks
The decision graph behind the engagement. Inputs, branches, and the point where a human stays in the loop.
How we run this engagement
Concrete phases, concrete artifacts. You always know where we are and what comes next.
Discovery + agent design
Process mapping with your team. Identify the workflows the agent will own. Design the tool library, knowledge base structure, and eval criteria. Lock the scope.
Build — runtime + tools
Stand up the agent runtime, wire the tool library to your stack, ingest your SOPs into the knowledge base. First end-to-end run on test data.
Evals + dashboard
Build out the eval harness with real cases from your business. Stand up the operations dashboard. Wire human-in-the-loop approval flows on high-risk actions.
Pilot + handoff
Soft-launch with one team, monitor evals and dashboard, tune prompts. Documented playbook + 60-minute training session + 30 days Slack support.
Typical results
What ships
- Agent runtime (LangGraph or equivalent) deployed to your cloud or ours
- Tool/function library wired to your stack — CRM, calendar, billing, docs, email
- Knowledge base built from your SOPs, processes, and reference docs
- Eval harness with 30–80 test cases derived from your real workflows
- Operations dashboard — live activity, cost meter, eval scores, error log
- Human-in-the-loop approval flows for high-stakes actions
- Monthly cost cap + alerting
- Operations playbook (how to add tools, update prompts, review evals)
- 30 days post-launch Slack support + tuning
Out of scope
- Ongoing agent operations (use Agent Operations Retainer)
- Building net-new business processes (we automate what exists)
- Replacing licensed software (we wire to existing tools)
- On-premise installs (cloud-hosted by default; VPC available as enterprise add-on)
Extend the engagement
Additional tool integration
+$480Wire the agent to one additional system beyond the base scope (e.g., a niche CRM, ERP, or industry-specific tool).
Custom dashboard branding
+$600White-label the operations dashboard with your branding, custom domain, and SSO.
VPC / on-premise deployment
+$2,000Deploy the agent inside your private cloud or on-premise environment for compliance-sensitive workloads.
Multi-agent orchestration
+$1,400Add a second specialized agent that hands off to the first (e.g., research agent + execution agent).
See the artifact, not the marketing.
Real shape, redacted content. Pick a tab to preview what ships.
Twelve-page audit excerpt: scope, methodology, findings ranked by impact, and a prioritized fix list. Redacted.
Sample provided after intro call · ask sage@sageideas.dev
Money-back if you're not happy in week 1
Reset the engagement before momentum builds. No invoices to dispute, no awkward email.
Async-first, weekly demos, no surprises
You see exactly what shipped each week. No status meetings to attend, no reports to chase.
Code is yours from day 1 — no lock-in
Your repo, your infra, your accounts. We work in your stack. You can take the work in-house at any time.
Honest answers
How is this different from buying ChatGPT Enterprise?
ChatGPT is a general assistant. This is a specialist trained on your processes, wired to your tools, with measurable outputs. ChatGPT can answer questions about your business; this one runs parts of it.
What if the agent makes a mistake on something important?
Every action that touches money, customers, or external systems goes through a human-in-the-loop approval flow by default. The agent drafts; a human approves. Over time, as eval scores prove out, you can lower the bar for low-risk actions.
Where does my data live?
Your cloud (AWS, GCP, Vercel, Supabase) or our managed environment — your call. We use your LLM API keys (BYOK), so your prompts and outputs never touch our infrastructure. Enterprise VPC deployment available.
How much does it cost to RUN per month after launch?
Depends entirely on volume — typical small-business agents run $50–$400/month in LLM costs. We give you a cost forecast in week 1 and put a monthly cap in place so you never get surprised.
Can I add new tools or processes later?
Yes — that's what the Operations Retainer is for. Or your team can do it themselves; the operations playbook covers it.
Do you do desktop installs?
No, by default. Desktop installs mean you can't push fixes, security becomes harder, and support gets messy. Cloud-hosted with SSO is the standard. If you need on-prem for compliance reasons, that's an enterprise add-on.
Ready to scope this for your business?
Book a 30-minute discovery call. No pitch deck. We'll either confirm fit and send a proposal, or tell you straight that this isn't the right move.