Skip to content
Strategy.Engineered.

Strategy Engineered

Marketing AI Deployment.
For Enterprises.

We build and deploy AI systems for enterprise marketing teams: market research, data pipelines and dashboards, creative production, workflow automation, and marketing measurement.

Discuss your use case See the five use cases

We connect your data and tools, build the workflows, and train your team to run them.

Campaign dashboardIllustrative interface

Campaign production

Production status

Sample data
Markets ready0 / 4
Assets approved36 / 48

Campaign production by market

United Kingdom10 / 12 approved
Germany8 / 12 approved
France9 / 12 approved
United States9 / 12 approved
German copy needs review

Four German assets are awaiting local review before release.

36 of 48 assets approved. Local teams review the remaining 12.

A Spectrum AI Venture Spectrum AI Ventures

Backed by angel investors from

UpworkInstagramDPG MediaUnileverGoldman SachsAB InBevIBMOracleAccenture

What we do

Five enterprise marketing use cases.

We build the data connections, AI tools and workflows for each use case below. You can start with one project or combine them across your marketing operation.

01

Marketing Intelligence

Use AI to track competitors, analyse customer feedback and summarise market research. Give brand and strategy teams regularly updated reports and alerts across products and countries.

Typical workflow

  1. Collect competitor updates, research and customer feedback
  2. Use AI to group topics and summarise changes
  3. Have an analyst check the findings against the sources
  4. Send reports and alerts to the relevant brand or market team

For: Strategy, consumer insights and product marketing teams tracking competitors, customer needs and market changes across regions.

Scope and sample use cases
02

Data Pipelines & Dashboards

Connect advertising, website, commerce and internal data in one reporting system. Automate data collection and build dashboards for comparing performance across brands, channels and countries.

Typical workflow

  1. Connect advertising, website, commerce and internal data
  2. Standardise campaign names, currencies and metric definitions
  3. Check totals, missing records and update times
  4. Publish dashboards and scheduled reports for each team

For: Marketing analytics and data teams combining reporting across brands, channels, agencies and countries.

Scope and sample use cases
03

Creative Production & Automation

Build AI workflows to create and adapt campaign copy, images and video. Produce variations for different languages, channels and markets using your brand assets, product information and approval process.

Typical workflow

  1. Load the campaign brief, brand assets and product information
  2. Generate copy, image and video variations for each market
  3. Check language, product claims, formats and usage rights
  4. Send approved assets to the publishing or asset management system

For: Brand and creative operations teams producing large volumes of campaign assets across markets and languages.

Scope and sample use cases
04

Efficiency & Cost Savings

Automate report preparation, document checks, approval routing and other recurring marketing tasks. Measure the time saved and running costs to see whether the automation is worth keeping or expanding.

Typical workflow

  1. Measure time and cost for recurring marketing tasks
  2. Automate report preparation, document checks and task routing
  3. Send incomplete requests and errors to a person
  4. Track time saved and running costs after launch

For: Marketing operations and shared service teams spending substantial time on repetitive tasks and coordination.

Scope and sample use cases
05

Attribution & Measurement

Measure how marketing contributes to sales and other business results. Combine campaign data with attribution, experiments and marketing mix modelling to help teams compare channels and plan budgets.

Typical workflow

  1. Connect campaign spend, sales and other business outcomes
  2. Compare attribution with experiments or marketing mix models
  3. Estimate channel contribution and document uncertainty
  4. Review budget options with marketing and finance

For: Marketing, media and finance teams deciding how to divide budgets across brands, channels and markets.

Scope and sample use cases

Sample dashboards

Reports and tools for your team.

These sample dashboards show how a team could review research, check data, track production, manage requests or compare campaign results. All figures are sample data.

Marketing data qualityIllustrative interface · Sample data

Reporting workspace · Daily refresh · Sample portfolio

Connected sources24

Each with a named owner

Checks passed97.8%

978 of 1,000 scheduled checks

Open exceptions3

One blocks the monthly report

Records mapped to the shared taxonomy
Paid media99%
Commerce96%
Web analytics98%
Market research88%

Share of sample records mapped successfully by source. Unmapped records are held for review.

Source health

Media cost feed

Refreshed 08:30 UTC

Ready
Retailer sales feed

Late file; report held

Blocked
Campaign taxonomy

12 unmapped campaign names

Review
Next review

Resolve the late sales feed before releasing the portfolio report.

Sample Use Case

Launch a campaign in six markets.

A central brand team supplies the campaign brief. AI helps prepare local copy and asset variations. Market teams approve them, and shared reporting tracks the results.

Sample Use Case

Campaign localisation

Connect research, content production and reporting in the same campaign. The central brand team, local reviewers and analysts each have a defined task.

Prepare the brief

The brand team selects the audience, product message and campaign requirements. AI summarises relevant customer research and competitor activity for the planner to check.

Produce and approve local assets

AI generates language and format variations from the approved brief and brand assets. Local teams check translations, product claims and image rights.

Publish and measure results

The publishing team receives the approved files. Data pipelines collect campaign spend and sales. Analysts compare market results and plan the next test.

How we work

How we deploy marketing AI.

01

Define the project

Choose a specific task, such as weekly reporting or campaign localisation. Review the data, current process, costs and people involved.

A scoped use case and an agreed baseline
02

Build and test

Connect your data and software. Build the AI workflow, dashboard or production tool. Test it on real tasks with the people who will use it.

A working implementation and an evaluation report
03

Launch and train your team

Roll out the tested workflow. Train users, document how it runs and agree who handles support. Compare time, cost and quality with the original process.

A deployed workflow, documentation and team training
Read the delivery process

Who we work with

Enterprise marketing teams.

Our projects suit organisations managing multiple brands, markets or large volumes of marketing work. We work with marketing leaders, analysts, creative teams and IT. The data and review requirements depend on the industry.

Consumer & Retail

Category and competitor research

Explore applications

Financial Services

Customer feedback and regulatory research

Explore applications

Healthcare & Life Sciences

Publication and approved evidence monitoring

Explore applications

Technology & Platforms

Competitor product and pricing research

Explore applications

Industrial & Automotive

Market and tender research

Explore applications

Media & Telecommunications

Audience research and topic monitoring

Explore applications

Permissions and accountability

Data access, approvals and ownership.

We agree which data the system can use, which actions need approval and who will maintain it. Your IT, security and business teams review these decisions before launch.

See the controls

Approved sources

Document permitted use, retention and access for each data source.

Reviewed outputs

Test quality, attach supporting evidence and route exceptions to the right reviewer.

Client ownership

Transfer operating access, runbooks, change controls and a named support path.