AI work stalls between the decision and the day-to-day. We work on both.

Book a call See the proof

The organizations that pull ahead this decade will be the ones where AI is part of how the work gets done, not a tool on the side. Getting there takes decisions about your business, your technology and how your people work. Advice, training and engineering usually come from different firms. With us they come from one team, and a partner leads it.

A lone figure standing in a vast curved opening in a dark wall, its edge lit amber, with blue light beyond.

Organizations that have worked with Dual Logic.

Where AI work stalls

We see four places, and most organizations are stuck in more than one.

Direction
Pilots everywhere, none tied to a result. Leadership wants progress but can’t say which opportunities deserve the budget.
Delivery
A good idea never meets the real systems. The data is in the wrong place, the security review stalls it, or it doesn’t fit how the work happens.
Capacity
You know what you want built. Your team doesn’t have the time or the specialist skills to build it.
Adoption and ownership
The tool shipped. A few months later, a handful of power users rely on it and nobody owns it.

What we do about it, and the work that shows it

01 · Business value

We start with the improvement, not the tool

We help you pick the opportunities worth doing, rank them, name an owner and agree how progress gets measured. Then we decide what to build or train. Emburse had ChatGPT Enterprise and wanted it to matter across an 800-person organization. We built executive fluency and a group of internal champions, and we’re now working with those champions on advanced use cases.

02 · Operating reality

We build for how your business actually runs

We look at your data, systems, security and workflows before choosing a fix. Sometimes that’s a tool you already own. Sometimes it’s a custom build or a process change. We adapt when the evidence says to. CoSo Cloud needed support to scale without staying on call 24/7. We found an AI solution inside their FedRAMP compliance boundary, using tools they already owned.

03 · Fluency

We help your people make it work

Leaders learn to judge where AI fits and where it doesn’t. Employees learn to apply it in their own roles and to check what it gives them. This can stand alone or support a build. At ACS Publications, we prepared the Publications Transformation Team to lead AI adoption across a 400-person division, with custom training and a practical rollout roadmap.

04 · Craft

Better work, not just faster work

Speed is the first gain people measure. The bigger one is quality: AI takes the tedious parts so skilled people spend their time on judgment, relationships and craft. Paperclip, a 30-year enterprise data security company, needed more marketing from the team it had. Our AI-supported approach drove paid campaigns to 2–3x industry benchmarks.

Standing conditionResponsible use is part of the work in all four.

The work, and what it changed

Each story covers the business problem, the work we did and the result. Skills and readiness outcomes are reported separately from operational and financial ones.

See all case studiesSee all case studies

Developing internal champions to support AI integration across an 800-person SaaS
25%+Improvement in sales rep productivity
60+daysEarlier identification of renewal risk
Emburse’s leaders went first, through blended training and biweekly cross-functional coaching cohorts. The program found the internal champions and produced an organization-wide 2026 roadmap.
Software as a ServiceRead the case study
Building scalable support within federal compliance standards
FedRAMPCompliant AI solution identified
CoSo Cloud's support leaders were covering nights and weekends. Dual Logic analyzed the support workflows and found a path inside their FedRAMP boundary: Salesforce Agentforce, on the Service Cloud they already ran. They now have a validated plan for AI triage and routine responses that scales support without adding headcount.
Professional ServicesRead the case study
Building a plan for AI fluency for a 400-person division
15%Uplift in team capacity in 2 months
10+Workflow automations implemented in 2 months
The Transformation Team built Microsoft 365 Copilot fluency through training, one-on-one sessions and weekly office hours. They now use it for communications, performance analysis and change plans. A readiness survey mapped the division for the wider rollout.
AssociationsRead the case study
Scaling marketing output without scaling headcount
50+MQLs a month, with no new hires
2–3xCampaign conversion against B2B SaaS benchmarks
Dual Logic worked inside Paperclip’s marketing team for about 50 hours a month, with AI built into research, content and campaigns. The funnel was rebuilt and lead scoring added, with no new hires.
Software as a ServiceRead the case study
See every case study
Each one covers the business problem, the work we did and the result. Filter them by industry or service.
View all case studies

Proof from real delivery

60+daysEarlier identification of renewal risk for a SaaS company

~1,500Hours of annualized time savings identified in accreditation work

$3.5MAggregate enterprise value being delivered over 6 months

“I wanted a partner that could match our quality standards while scaling output with AI. Dual Logic exceeded our expectations.”

Megan BrandowDirector of Marketing

Read the case study

“We now have a group of champions who are fluent in the tools, energized by the possibilities, and bringing real intellectual curiosity to how we work.”

Debra BenAvramChief Executive Officer

“Dual Logic created a structured approach that combined foundational AI fluency, communities of practice, and team-specific working sessions focused on building real solutions.”

Jonas HirshfieldChief Information Officer

Read the case study

A soft blur of light on a dark blue field: an amber glow on the right and a blue glow in the lower left.

The questions mid-market leaders ask first

Short answers on fit, scope and what working with us looks like. Ask us anything else directly.

Contact usContact us

How is Dual Logic different from a large consulting firm?

Dual Logic is built for mid-market organizations, and a partner leads every engagement and stays accountable for the result. Strategy, training and engineering sit in one team, so the people who shape the plan also help build and run what it calls for. We scope each engagement to your priorities and budget, from one defined initiative to ongoing support.

Why hire Dual Logic instead of building AI capability in-house?

Bringing in Dual Logic is a faster way to build AI capability in-house, not a replacement for it. Internal teams know the business, but they often lack the specialized experience or spare capacity to move quickly, and hiring the right people can take months. An embedded partnership adds experienced practitioners to your team now. Our role can continue, but dependence isn’t the design.

Does Dual Logic build AI systems, or only advise?

Dual Logic builds as well as advises. We don’t stop at recommendations: we design, build and integrate what the work needs, from automated workflows to AI agents (systems that carry out multi-step tasks) and features inside your product, and we can run them in production. We also say plainly when a general-purpose tool used well is a better answer than a custom build.

Is Dual Logic tied to a particular AI vendor or platform?

Dual Logic has no preferred AI platform or model provider. We recommend tools and models on fit: the work, your existing systems, cost, compliance needs and what your team can support. That can mean making better use of tools you already pay for, such as Microsoft 365 Copilot or Google Workspace. Builds are designed so you can change model providers later.

How should we choose an AI consulting partner?

Choose an AI consulting partner that starts from your business results, not from a tool. Ask who will lead the work day to day, whether the firm can build and support what it recommends, how it will measure progress against a baseline, and how it will leave your team more capable. These are the standards Dual Logic holds itself to.

Does Dual Logic do the work for our team or with them?

Dual Logic works with your team, not around it. The people affected by a change help find the opportunities, test the work and shape how it runs, rather than being briefed afterwards. Training and guided practice build their skills and confidence as the work goes, so what we build together fits how they actually work and they can carry it forward.