Accord Innovation
Capability

AI automation and agents that do the work, not just describe it

Working systems in production that run the repeatable parts of your operation, with humans kept in the loop exactly where judgement is needed.

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AI Automation at Accord Innovation
Why this matters now

Most AI pilots stall between demo and production. They work in a notebook, fail on real data, and nobody owns them. The gap is not model quality. It is scoping, evaluation, and the plumbing nobody wants to fund.

What we do

  • Opportunity mapping: which processes actually pay off when automated
  • Custom automations and multi-agent systems wired into your existing tools
  • Retrieval and knowledge systems over your own data
  • Evaluation harnesses and guardrails, so you can tell when it degrades
  • Full documentation and IP handover, with no lock-in

Who it is for

  • Operations teams doing the same manual sequence dozens of times a week
  • Businesses that ran an AI pilot and could not get it to production
  • Founders who want to scale output without scaling headcount

What we report on

Hours returned
manual time removed per week
Cost per run
measured before and after
Error rate
tracked by the eval harness, not by feel
How the four fit together

AI Automation in context.

Outward · visibility
GEO
How generative engines describe your brand
Conversational answers across AI engines
Measured by
Share of model voice
AEO
Being quoted as the direct answer
ChatGPT, Perplexity, AI Overviews
Measured by
Citation frequency
SEO
Ranking, crawlability, and authority
Classic search results
Measured by
Organic sessions and pipeline
Shared technical foundation. Generative engines read crawled, indexed pages, so the two upper layers do not survive without the base.
Inward · operations
AI Automation
Running the repeatable work itself
Your own stack and operations
Measured by
Hours returned per week
A separate axis, not a fourth rung. This one points at your own operations rather than at the people searching for you, so it is bought and measured on its own terms.

Read the detail

AI Automation Hub

AI automation is using AI to execute, route, and adapt multi-step workflows with probabilistic decisions, not fixed rule-based triggers. It is how you scale output without scaling headcount.

How engagements start

Build

Working software in production, in weeks, with the IP yours.

Custom quote · fixed-price project · or monthly managed

Questions, answered

Do we own what you build?

Yes. Every build is a glass-box system with full handover: the code, the prompts, the evals, and the documentation. There is no lock-in and no proprietary runtime you have to keep paying for.

How is this different from buying an off-the-shelf AI tool?

A tool solves the average version of your problem. A build solves yours, inside your stack, on your data. When an off-the-shelf tool genuinely fits, we will tell you to buy it instead.

What if the automation breaks?

Every system ships with an evaluation harness and monitoring, so degradation surfaces as an alert rather than as a customer complaint. Ongoing operation is available as a managed retainer if you would rather not run it yourself.