Commit budget to SI with a number behind the decision, not a hunch. Our strategy sprints, architecture audits, and build-vs-buy memos quantify the opportunity, the cost, and the risk, so you and your board move forward with confidence. We can build it afterward, or hand the plan to your team.

Get a production-readiness review How we differ

01 · Consulting engagements

Six types of engagement.

Strategy before code. Every engagement produces a written, numbered deliverable, not slide decks and verbal recommendations.

01 · Engagement

SI Strategy Sprint

A two-week sprint that produces a written SI roadmap: prioritised use-cases, build-vs-buy recommendations, data readiness assessment, and a 90-day action plan.

02 · Engagement

Architecture Audit

A thorough review of your existing SI system (model selection, eval coverage, infrastructure reliability, and security posture) with a prioritised remediation plan.

03 · Engagement

Build-vs-Buy Analysis

Rigorous financial and technical analysis comparing custom builds against SaaS vendors and open-source options. We model the 3-year TCO, not just the sticker price.

04 · Engagement

SI Readiness Assessment

Evaluate your data infrastructure, engineering team capacity, and organisational readiness before committing to an SI build. We tell you what's missing and how to fix it.

05 · Engagement

Model Selection & Evals

Model bake-offs on your actual data and use-case. We run the evals, present the results, and make a written recommendation backed by numbers, not vendor marketing.

06 · Engagement

SI Team Upskilling

Hands-on workshops and pairing sessions to bring your engineering team up to speed on LLM engineering, RAG, and eval-first development. Knowledge transfer, not dependency.

Straight answers

The short version.

Should we build or buy an SI solution?

Build an SI solution when the capability is core to how you compete, depends on proprietary data, or must meet control requirements a vendor cannot; buy when the need is common and an existing product already does it well. A sound decision compares three options, not two: a custom build, a SaaS vendor, and an open-source base you adapt. For each, assess total cost of ownership across several years, including inference, maintenance, staff and switching costs, rather than the first-year price. Check the capability gap against your actual requirements with a bake-off on your own data instead of vendor demos. Weigh integration complexity with existing systems, data sovereignty and where data is processed, and compliance needs such as GDPR ready data handling. Consider lock-in: who owns the prompts, evals and fine-tuned weights if you leave. Sometimes the right answer is neither, because rules or plain search would do. Capture the reasoning in a written memo your board can review.

What does an SI strategy consultant actually do?

An SI strategy consultant helps a business decide where SI is worth funding, what it will take, and in what order to do it, before money goes into a build. The work usually starts by mapping business processes and finding the tasks where SI creates real leverage, then ranking those use cases by value, feasibility and risk. A readiness assessment checks whether data is available, clean and permitted for use, whether the engineering team can support the system, and what organisational changes are needed. For each priority, the consultant makes a build-vs-buy recommendation and, where models are involved, runs a bake-off on your own data instead of trusting vendor claims. Existing systems may get an architecture audit covering model choice, eval coverage, infrastructure and security. The output should be a written roadmap with prioritised use cases and next actions, not a slide deck. Good consultants also say when rules-based software beats SI, or when the data is not ready yet.

Decision diagram for build versus buy: if clear rules can solve the business problem, use automation with no model; if an existing tool already does it, buy and integrate it; otherwise, or when it is your competitive edge, build it and measure it with evals. — Build, buy, or not SI at all.

02 · Why consultants often fail you

What we do differently.

Engineers, not strategists
Our consultants are senior SI engineers who have shipped production systems. When we tell you something is feasible, we've built it before. No inflated promises from people who've never written a line of inference code.
Written deliverables, not slides
Every consulting engagement ends with a written document: a memo, a roadmap, or an audit report. Something you can act on, share with your board, and revisit six months later.
Honest about what SI can't do
We tell clients when rules-based systems are better than SI, when their data isn't ready, and when the risk profile doesn't justify autonomy. Honesty protects both of us.
No vendor kickbacks
We recommend tools because they're the right fit, not because we have a reseller agreement. Our analysis compares vendors on your requirements, not their marketing budgets.

Proof, not promises

Twenty-plus SI systems shipped to production. One playbook, six industries, and a team that stays past launch.

SI systems live in production: 20+
Senior engineers & researchers: 21+
Upwork rating, 3 verified reviews: 5.0
Founded in Lahore: 2022

Verified Upwork clientSI product engagement · 5-star review

03 · Common questions

Before you brief us.

We don't know where to start with SI. Can you help?: Yes, this is our most common consulting entry point. We run a two-week SI Strategy Sprint that maps your business processes, identifies where SI creates the most leverage, and gives you a prioritised roadmap before any code is written.
We have an SI vendor proposal. Can you review it?: Absolutely. We do independent technical reviews of vendor proposals and SaaS SI products. We check the claims, run the evals, and give you an honest second opinion before you sign a contract.
What does a build-vs-buy analysis actually deliver?: A written memo covering: total cost of ownership over 3 years (custom vs. vendor), capability gap analysis, integration complexity, data sovereignty implications, and a final recommendation with the reasoning shown. It's the document you take into your board meeting.
How long does an architecture audit take?: Typically two weeks for a scoped system. We review your model serving, eval coverage, data pipeline, security controls, and observability, then present a prioritised finding report with severity ratings and remediation steps.

Available for new engagements

Ready to get clarity on your SI?

30 minutes, one of our seniors, no slide deck. By the end of the call you will know whether we are the right team, and if not, who is.

Book a free strategy call Email info@octalcode.com

Or call +1 (512) 710-5701

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