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AI agents · MCP servers · AutomationProposal brief

Agentic AI & Automation

Autonomous AI agents, custom MCP servers, and automated systems that lift productivity, increase efficiency, and reduce the overhead your team carries day to day. We design agents around the operation in front of us — and build the Model Context Protocol servers, skills, and hooks that plug them into your databases, tools, and data safely. Quiet, capable, on-brand assistance that keeps working after the office closes.

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Scope

What's in scope.

The boundary of the engagement is set in writing before work begins.

Autonomous AI agents, custom MCP servers, and automated systems that lift productivity, increase efficiency, and reduce the overhead your team carries day to day. We design agents around the operation in front of us — and build the Model Context Protocol servers, skills, and hooks that plug them into your databases, tools, and data safely. Quiet, capable, on-brand assistance that keeps working after the office closes.

Scope is written collaboratively during discovery and signed off before any build work starts. Changes are handled as written amendments, not surprise invoices.

Method

How we build.

The discipline below is constant across engagements. It is what separates an agent the practice is happy to put its name on from a demo that should never have left the lab.

  • Designed for the operation, not bolted on top.

    No SaaS skin, no off-the-shelf chatbot dressed up as a hire. Every agent we ship is designed for a specific operation — your inquiries, your tools, your data, your tone — and reasoned through end-to-end before a single prompt is written. Generic agents fail loudly the first time the conversation leaves their training distribution; ours are scoped to the work in front of them.

  • Prompts and tool boundaries written per engagement.

    Every prompt the agent runs and every tool it can call is written, reviewed, and version-controlled — not pulled from a starter kit. When we expose your systems over the Model Context Protocol, each MCP server, skill, and hook is scoped to exactly what the work requires. The agent does what it was authorized to do, declines what it was not, and logs both for audit. We treat the prompt surface and the tool boundary the same way we treat a security perimeter: small, deliberate, and known.

  • Model selection against a privacy and cost posture.

    The right model is the one that meets the operation's accuracy, latency, privacy, and unit-cost requirements — not the one with the loudest launch announcement. We map those requirements before the build starts, choose the model that fits, and document the posture so the choice is defensible the next time the landscape shifts.

  • Adversarial testing before production.

    Every agent ships through a written test plan that includes prompt-injection attempts, tool-misuse scenarios, jailbreak patterns, and out-of-distribution inputs from the operation's actual edge cases. We do not consider an agent ready until it has refused the things it should refuse — and done so with the same composure it brings to the work it does take on.

Deliverables

What you'll receive.

  • Custom AI agent design & development

    Custom-quoted

    Purpose-built agents tailored to your workflows, your data, and the way your business actually operates — not a generic chatbot bolted on top. Intake, qualification, drafting, research, scheduling, follow-through.

    From $3,999 · typical builds $4K–$60K

    Agent build totals scope with tool count, data-source depth, and reasoning complexity. We'll review your tools, data sources, and target workflows, then send a custom-priced invoice with line-item scope. No payment is charged until you approve.

    From $3,999

  • Custom MCP server development

    SpotlightCustom-quoted

    Purpose-built Model Context Protocol servers that expose your databases, CRMs, ticketing, and proprietary APIs to any MCP-capable agent or IDE. Tool boundaries and permissions are designed in from the first line, so an agent reaches exactly what it should and nothing it should not.

    MCP server builds scope with the number of systems exposed, the protocols in play, and the permission model your data requires. Tell us which systems the agent needs to reach and we'll map the tool surface, design the boundary, and send a custom-priced invoice with line-item scope. No payment is charged until you approve.

  • Agent skills, hooks & guardrails

    Custom-quoted

    The operational layer around your agents: reusable skills, lifecycle hooks, subagent orchestration, and hardened tool boundaries — so agents behave consistently, fail safely, and stay auditable once they are running in production.

    Skill and hook engagements scope with the number of agents in play, the workflows they run, and the guardrails your operation demands. We'll review how your agents behave today and quote the reusable skills, lifecycle hooks, and tool-boundary hardening to make them consistent and auditable. No payment is charged until you approve.

  • Workflow automation & orchestration

    Custom-quoted

    Multi-step automations with reasoning baked in — handling intake, triage, document generation, and the everyday operations work that eats your team's afternoons.

    From $2,499 · scoped per workflow

    Automation totals scope per workflow surface and integration count. Tell us the workflow and we'll map the reasoning steps and ship behind whatever tool you already use — at a custom price quoted up front. No payment is charged until you approve scope.

    From $2,499

  • Agent-in-the-loop integrations

    Custom-quoted

    Bring intelligent assistance into your CRM, helpdesk, ops console, or internal tools without uprooting what already works. The agent shows up where your team already is.

    From $2,999 per integration

    Per-integration price floor. The agent shows up inside the CRM, helpdesk, or ops console you already run — we scope the boundary, write the tool surface, and ship. No payment is charged until you approve.

    From $2,999 per integration

  • Around-the-clock business operations

    SpotlightCustom-quoted

    Agents that keep working after the office closes — answering inquiries, qualifying leads, drafting documents, scheduling, and keeping the operation moving while your team rests.

    From $3,499 / month · always-on retainer

    Monthly retainers scope per channel volume and orchestration depth. We'll review your operations and quote a monthly retainer covering inquiry response, lead qualification, document drafting, after-hours follow-through, and monitoring. No payment is charged until you approve scope.

    From $3,499 / month
Selected work

One we can describe.

Anonymized by sector and region only. The full archive lives at /work.

Agentic AI2026

A B2B services firm, US Southeast

An agent-in-the-loop operations desk that triages every inbound, drafts the first reply, and never acts without a human holding the last word.

Inbound triaged without human touch
70%
Median first-response time
4 hr → 18 min
Outbound actions human-approved
100%

The firm's two-person operations team had become the bottleneck on its own growth: every inbound enquiry, scheduling request, and document hand-off ran through the same two inboxes, and the backlog grew faster than they could hire. They did not want a chatbot bolted to the website — they wanted the repetitive judgement work handled and the human judgement preserved. The engagement was a custom agent that plugs into the tools they already run — mailbox, calendar, and document store — triaging inbound, drafting context-aware replies, and preparing scheduling, with every outbound action staged for a one-click human approval.

Methodology
  1. 01
    Tool boundaries written before prompts

    We enumerated exactly which systems the agent may read and which actions it may take — and, more importantly, the ones it may never take unattended. The boundary is enforced in code, not asked for politely in a prompt.

  2. 02
    Agent in the loop, not human out of it

    Every outbound email, calendar invite, and document edit lands in an approval queue with the agent's reasoning attached. A person approves, edits, or rejects in one click. Nothing reaches a client without a human signing off.

  3. 03
    Model selection against a cost and privacy posture

    Routine triage runs on a smaller, cheaper model; only genuinely ambiguous cases escalate to a frontier model. Client data stays inside boundaries the firm controls, with no training on their correspondence.

  4. 04
    Adversarial testing before production

    We red-teamed the agent against prompt injection in inbound mail and malformed attachments before it touched a live inbox, so a hostile message can't talk it past its own guardrails.

The agent does the repetition. The team keeps the judgement.

Source notes redacted · Client identification withheld by agreement

Timeline

A predictable cadence.

Every engagement runs on the same four-stage rhythm, regardless of size.

  1. Discovery

    Week 0

    Working session, written scope, clear success criteria.

  2. Design & architecture

    Week 1

    System design, milestones, fixed or weekly pricing.

  3. Build

    Weeks 2+

    Weekly releases, live portal, direct access to engineers.

  4. Launch & handoff

    Final week

    Production hardening, observability, written handoff.

FAQ

Common questions.

How do you price engagements?
Fixed-price for well-scoped work, weekly retainer for open-ended or exploratory engagements. Pricing is always in the proposal brief before any contract.
Do you work with existing teams?
Yes. We regularly embed with in-house engineers, or augment a small team with specific capabilities — AI integration, infrastructure, design — for a defined period.
What happens after launch?
Either a written handoff so your team owns everything, or an ongoing retainer for maintenance, features, and on-call support. Your choice, stated up-front.
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