Connecting your data. Proving quality before launch. Getting people to actually use it. That is where enterprise AI is won, and it is the work Reckonsys does - across nine services, from first assessment to running at scale.
Nine services. One path to production.
OpenAI Select Partner within the OpenAI Partner Network, with certified engineering expertise.
No license resell and no margin on consumption, so our architecture advice stays completely impartial.
You keep all code, prompts, custom connectors, and evaluation suites from day one. Zero vendor lock-in.
One dedicated partner from first feasibility assessment through custom builds to live operations.
We've structured our capabilities to handle every stage of the enterprise AI lifecycle. Engage us for a single isolated service, or let us engineer the entire journey.
Each service stands alone, and each ends in something working. Most enterprises begin with one, measure the result, and expand from there.
Know where AI will pay back fastest before you commit budget. We measure your workflows today and rank the top opportunities against the evidence.
You receive: Opportunity map, baselines, sequenced roadmap, business case
Hand entire tasks over, not just questions. Agents complete multi-step work under defined authority, escalate what needs a person, and write results back straight into your systems.
You receive: Production agent, authority model, runbook, eval suite
Grant broad access with confidence. A control framework your risk and security functions can review and approve quickly, covering policy, data handling, and entitlements.
You receive: Policy pack, control documentation, test evidence.
Turn licences into daily use across your organisation. We handle tenancy, security configuration and approved data connections, then roll out function by function.
You receive: Configured tenancy, rollout plan, usage dashboards
Make AI useful on your real data. We connect it to the systems where your work already lives, under the permissions you already run, so answers reflect your business.
You receive: Working connectors, entitlement matrix, data-quality findings
Move from licences issued to work genuinely changed. We build champions inside each function, redesign the workflow around the tool, and capture what works.
You receive: Trained champions, Skills library, enablement materials.
Give a team an assistant that knows your business. Purpose-built for a specific task, grounded in your own documents and controls.
You receive: Deployed assistants, eval suite, maintenance guide
Clear the engineering backlog that never gets funded. Codex takes on migrations, refactoring, test coverage and review, while your engineers keep merge approval.
You receive: Working setup, Skills library, measured throughput baseline
Keep what you have built performing and improving. We own quality, cost, and platform change after go-live, and report value quarterly against the baselines set at the start.
You receive: Monthly quality and cost reporting, quarterly value review.
The same discipline applies whichever services you choose. Two checkpoints are mandatory, so quality and security are confirmed before anything reaches your users.
We establish what the work costs today and agree a written definition of success, including the quality bar, before anything is built.
You receive: Baseline, Success definition, Agreed scope.
Implementation, with your security function confirming entitlements before production data connects, and measured evaluation.
Staged rollout with active monitoring on quality, cost, and usage. Runbook and documentation written for an engineer who has never met us.
You receive: Live production systems, clean codebase, eval suites, and operational runbook.
Eight commitments that shape every engagement, each of which you can verify before you sign.
Every engagement ends in working software. You get a running system and measured results, not a slide deck.
Your OpenAI contract is direct and Reckonsys earns nothing from consumption, ensuring we focus purely on your needs.
You own everything we build from day one. Code, prompts, Skills, connectors, evaluation suites, and documentation remain in your repositories.
The same senior systems engineer who scopes the initial architecture delivers the build and handles handover.
Every build ships with an evaluation suite scored against your real test cases and an agreed threshold.
No bloated delivery stacks. We propose the simplest, most robust architecture that resolves the problem efficiently.
Access controls, audit trails, and data-handling policy are part of the first architecture review, not a retrofit after your security team flags something.
You review progress with the engineer building your system every week, not an account manager relaying second-hand status.
Reckonsys acts as your dedicated engineering partner. We do not resell OpenAI licences. You retain complete, unencumbered ownership of all operational assets.
Answered here so the first call can be about your system rather than our commercial model.
Yes - every service is standalone. Most clients start with the AI Opportunity Assessment or a single Assistant build, then add others once something is live and measured.
No. Your OpenAI contract stays direct between you and OpenAI - we earn nothing from your consumption.
By actual engineering effort, not seat licenses or consumption margin - see Right-Sized Scope above.
Access to the systems in scope, a named stakeholder for sign-off, and your security function available at the Build & Verify checkpoint.
Yes - most engagements run with our senior engineers embedded alongside your team, not handed off at the end.
Your evaluation suite tells us whether a platform or model change is safe to roll out before we touch anything in production.
We're an OpenAI Select Partner, but we hold no license resell arrangement and earn no margin on your usage.
Yes - see our Anthropic partner page for how we build with Claude specifically.
Bring us the workflow, system or team you're trying to transform. We'll help you identify where AI can create value - and what it will take to get it into production.