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: +312% avg. organic traffic in 12 months
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.
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.
Measurable Results
Engineered for outcomes, not vanity metrics
Every Custom AI Agents engagement starts with a measurable goal — revenue, qualified pipeline, or first-page rankings on your highest-intent terms. We instrument the work end-to-end so you can see the trajectory in week two, not month six.
Added value to maximize your return on investment.
Spec-driven eval set
Added value to maximize your return on investment.
Why our Custom AI Agents engagements ship results
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.
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
02
Organic traffic — last 90d
+263% vs prior period
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
03
Content velocity
8 long-form posts · 4 weeks
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
Real Results
Custom AI Agents outcomes that compound
Average measurable wins across active engagements — every number traceable inside the dashboards we ship clients.
Verified across 500+ live client engagements
Reported via live Looker Studio dashboards
Tied to revenue KPIs, not vanity metrics
+312%
Avg. organic traffic in 12 months
37 days
Median time-to-first-page
60+
Verticals shipped against
4.9★
Avg. client satisfaction
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.
No account-manager buffer and no juniors learning on your budget — you work directly with the people who do the work.
Founder
Rao Anas
Founder & CEO
Company vision · technical direction
Founder and CEO. Sets the company vision and leads engineering and technical direction across both SEO and software development — the person who architects the hard problems and owns the standard the whole team builds to.
Founder
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
Nimra Jabbar
Front-End Developer & SEO Specialist
MSc Data Science · front-end · technical SEO
Front-end developer and SEO specialist with a Master’s in Data Science. Builds fast, accessible interfaces and the on-page and technical SEO that make them rank — with experience spanning EdTech, enterprise systems and digital consulting.
MSc, Data Science
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.
Drop your URL, pick the goal you care about most, and we'll show you exactly where the traffic is leaking — technical, content, or authority. No pitch, no obligation, no sales script.
Every quote below is from a real client engagement. We only report what we can tie to a ranking, a booking, or a pipeline number.
5 avg. client review · 60+ engagements
Slide 1 of 8
Their content strategy gave us a much clearer direction for growth. The reasoning behind every recommendation was explained, and it all felt well planned.
Sophie Thomas
Content lead
Slide 2 of 8
We've partnered on multiple projects and the quality stays consistently impressive. Always proactive about valuable opportunities and a pleasure to work with.
Toby Ireson
Agency owner
Slide 3 of 8
Well-researched, well-structured content that actually aligns with the SEO strategy. Organized, easy to collaborate with, and consistently on time.
Zoe Ashbridge
Content lead
Slide 4 of 8
Everything stayed organized and every update was communicated clearly. The work was completed to a very high standard and I would collaborate again in a heartbeat.
Lesley Murray
Clinic operations manager
Slide 5 of 8
They rebuilt our city pages and fixed the local foundation properly. We're now showing up in the map pack across every territory we serve, and the phone actually rings because of it.
Adam McChesney
Home-services owner
Slide 6 of 8
The on-page work was meticulous — they made the changes without disrupting the site and explained the reasoning behind each one. Our performance climbed steadily afterward.
Aliya Vadillo
Marketing director
Slide 7 of 8
Another smooth project from the team. They secured exactly the placements we needed, communicated clearly the whole way, and made the entire process effortless.
Cameron Jackson
Agency owner
Slide 8 of 8
Their knowledge of SEO is evident, communication is always smooth, and the project was delivered exactly as expected. I wouldn't hesitate to recommend this team to others.
Chris Barnard
Law-firm marketing lead
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