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Tool-use, function-calling, orchestration

Custom AI Agents

Bespoke agents that reason over your data and take real actions in your stack via tool-use and function-calling.

  • Published pricing — from $1,000, never quote-on-request
  • Senior strategists — no juniors learning on your dime
  • Live dashboard tied to revenue, not vanity rankings
Senior-led, every accountReviews published with real names
Custom AI Agents hero illustration
5.0
from 60 published client reviews
Senior pod, no juniors
on every account

Brands across the industries we serve

PfizerOracleBlackstoneMedtronicWeWorkWalgreensKeller WilliamsITVNovo NordiskSwiss LifeGE AerospaceEmaarPfizerOracleBlackstoneMedtronicWeWorkWalgreensKeller WilliamsITVNovo NordiskSwiss LifeGE AerospaceEmaar

What is Custom AI Agents?

Bespoke agents that reason over your data and take real actions in your stack via tool-use and function-calling.

  • Discipline: AI Agents
  • Typical outcome: Senior specialists named on the account
  • Engagement: monthly retainer or one-time audit
  • Seniority: lead strategist on every weekly call

About This Service

How We Deliver
Custom AI Agents

We design the agent loop for your job: which model, which tools, what it is allowed to do, and when a human takes over. Multi-step orchestration, structured tool-calling, retries and fallbacks — built against a spec and an eval set so behaviour is measurable, not vibes.

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Agent loop + tool schema design

Structured function-calling

Multi-step orchestration

Human-in-the-loop handoff

Spec-driven eval set

Pain Points

Why most teams stall before they see results

The patterns we see across new audits — and the fixes baked into every engagement.

Demos that die in production

A slick agent demo that falls over under real use is worthless. We build production-grade agents with evals and guardrails.

Hallucination and reliability risk

Unbounded agents make things up and act wrongly. We build guardrails, grounding and evaluation in.

No real integration

An agent that can't touch your systems is a toy. We wire agents into your tools, data and workflows.

No way to measure quality

Un-evaluated agents drift and fail silently. We build evals and monitoring so quality is measured.

Custom AI Agents impact illustration

Measurable Results

Engineered for outcomes, not vanity metrics

8

Specialisations in AI Agents

1,000

US markets with their own measured page one

Since 2019

Building search programmes

Features

What Custom AI Agents includes

Core Offerings:

Agent loop + tool schema design

Structured function-calling

Multi-step orchestration

Custom AI Agents feature visualization

Additional Value:

Human-in-the-loop handoff

Spec-driven eval set

Why Custom AI Agents works

What makes this work hold up

No retainers without a measurable outcome attached. Every sprint is anchored to a KPI we agreed on in week one — with weekly Loom updates, a shared dashboard, and a senior strategist on every call.

  • Senior strategist on every account — no juniors learning on your dime
  • Weekly Loom updates plus a shared Looker dashboard
  • Your stack, your CMS, your CMS workflow — we adapt to you
  • Outcome-tied pricing — KPI ranges baked into the contract

Our Process

How we ship Custom AI Agents

A proven 4-step framework that compresses time to results without cutting corners.

01

Audit & Diagnose

Benchmark where Custom AI Agents stands today, surface the highest-leverage opportunities, agree on the KPIs we'll be measured on.

02

Strategy & Roadmap

A senior strategist sequences the 90-day roadmap with quick wins front-loaded and moat plays scoped behind them.

03

Execute & Ship

The pod ships work weekly — instrumentation, deliverables and dashboards updated against the KPIs you signed off on.

04

Measure & Compound

Monthly reviews recalibrate the roadmap. Wins compound, the program keeps moving, every dollar stays accountable.

01Agents built to survive real traffic
Production-grade, not demos

Agents built to survive real traffic

Anyone can demo an AI agent; shipping one that works reliably under real traffic is engineering. We build custom agents production-grade: proper architecture, error handling, guardrails, grounding against your data, and evals — so the agent performs safely and consistently in production, not just in a screenshot. Production-readiness is exactly what separates a real agent from a demo that falls over the first time a customer uses it.

  • Production architecture, not a prototype
  • Guardrails, grounding and error handling
  • Reliability under real-world use
  • Built to survive real traffic
02Agents wired into your systems and data
Integrated & grounded

Agents wired into your systems and data

An agent that can't access your systems, tools and data is a toy — the value is in an agent that actually does things. We integrate agents into your stack (tools, APIs, data, and MCP where it fits) and ground them in your real information, so they take real actions and answer from your truth, not a generic model's guesses. Deep integration and grounding are what make an agent genuinely useful rather than a chat gimmick.

  • Integration with your tools, APIs and data
  • MCP and tool-use where they fit
  • Grounding in your real information
  • Agents that take real actions
03Measured, safe, and monitored
Evals & guardrails

Measured, safe, and monitored

An agent you can't evaluate will drift and fail silently — so evaluation and guardrails aren't optional. We build evals that measure the agent's quality against real tasks, guardrails that keep it safe and on-scope, and monitoring that catches regressions, so you can trust and improve it over time. Evals and guardrails are what make an AI agent something you can safely put in front of customers.

  • Evaluation against real-task quality
  • Safety and scope guardrails
  • Monitoring and regression detection
  • Trustworthy, improvable agents

How we work

Custom AI Agents — what you are actually buying

Commitments rather than results: how the engagement is staffed, reported and priced. Every one of them is true on the first day, before anything has been measured.

  • Named senior specialists on every engagement
  • Reported via live Looker Studio dashboards
  • Tied to revenue KPIs, not vanity metrics
Senior
Specialists named on the account
60
Client reviews published with real names
1,000
US markets with their own measured page one
Since 2019
Building search programmes

FAQs

Questions buyers ask before signing

Quick answers to the things buyers always check first.

Why do most AI agents fail in production?
Because they're built as demos, not engineered systems — no guardrails, grounding, error handling or evals. We build custom agents production-grade so they perform safely and reliably under real traffic, rather than falling over the first time a real user hits an edge case.
How do you prevent hallucinations and unsafe actions?
With guardrails, grounding against your real data, scoped tool access, and evaluation — so the agent answers from your truth, stays on-scope, and its behaviour is measured rather than assumed.
Can the agent actually use our systems?
Yes — that's the point. We integrate agents into your tools, APIs and data (including MCP where it fits) and ground them in your information, so they take real actions and answer accurately, not as a generic chat toy.
How do you know the agent is any good?
We build evals that measure its quality against real tasks, plus monitoring that catches regressions — so agent quality is measured and improvable, not a black box you hope is working.

Still have questions? Talk to a specialist

The team

The senior specialists behind your work.

No account-manager buffer and no juniors learning on your budget — you work directly with the people who do the work.

Rao Usama — Co-Founder & Product Officer, Head of AI / DataFounder

Rao Usama

Co-Founder & Product Officer, Head of AI / Data

14+ yrs engineering · AI agents, MCP & automation

Co-Founder and Head of AI & Data. 14+ years in software engineering; leads our AI-agent, MCP-integration and workflow-automation work — turning models into systems that actually run in production.

MSc, Data Science

Abdur Rahman Shah — Web & SaaS Engineer · DevOps

Abdur Rahman Shah

Web & SaaS Engineer · DevOps

WordPress · custom web apps · SaaS · DevOps · technical SEO

Builds and ships the web layer — WordPress, custom web apps and SaaS architecture — with the DevOps to run it and the technical-SEO knowledge to make sure what he builds is fast, crawlable and built to rank.

Free site audit · results in 60 seconds

Find out whether this should be an agent.

Describe the queue and we will tell you honestly whether an agent can take it safely, what it would need access to, and where a human still has to sit in the loop.

From our clients

What clients say about our Custom AI Agents

Reviews from our Upwork, Fiverr and direct client engagements. Each card shows where the review was left.

5 avg. client review · 60+ engagements

Contact

Ready to talk about AI Agents?

Send the details and a senior specialist replies within one business day — including an honest read on whether starting with AI Agents is right, or whether something else is capping you first.

Map of the United States — REO Rank works with clients in every US metro
Rao AnasRao UsamaRao HuzaifaRao HasnainAbdur Rahman Shah Meet your strategists

Prefer email?

hello@reorank.com

Email us directly

Send us the details

A senior strategist replies within one business day. No spam, no junior account managers.

Goes straight to hello@reorank.com