Fractional Data & AI Team
Clean up your data, connect your systems, and build useful AI agents without hiring a full-time team.
Trusted by data-driven teams
AI should be a compounding company asset.
AI shouldn't live on one person's laptop. But that is where the best company workflows usually begin: one curious person connects a few tools, writes better prompts, builds a repeatable workflow, and starts getting real leverage.
Then the problems show up.
The workflow lives in their account. The context lives in their chat history. The skill lives in their head. Everyone else is still starting from scratch.
A managed agent changes that.
Your team gets shared agents, connected to the systems your company runs on. People can ask questions, trigger workflows, and share answers all from Slack. The useful context becomes reusable. The agent's context, skills, and memory are built for the whole team.
And it gets better on purpose. We evaluate the agent against real questions, so improvement is measured, not assumed.
That is the real shift: the work stops living with one person and starts compounding for the company.
Managed AI agents your company actually owns
Ask questions, trigger workflows, and share answers all from Slack. Built for the whole team, not just AI power users.
Your company owns the agent's context, skills, and memory. It becomes a compounding asset, not another subscription.
Your business definitions, customer segments, and edge cases live with the agent, not on someone's laptop.
Salesforce, ERP, warehouse, internal databases. Wherever truth lives, the agent reads from it.
- Controlled access for reads and updates
- Permission-aware access
- Auditable workflows
- Ongoing monitoring
The value is the managed context.
Fix the foundation first
Your data is critical. AI breaks down with inconsistent data. We standardize definitions, stabilize data flows, and add checks behind your existing tools so the agent has context your team can trust.
BI tools, dashboards, and spreadsheets
Keep the reports people already rely on, but clean up the definitions, pipelines, and checks underneath them.
Legacy systems and hard-to-access data
Not everything lives in a modern SaaS system. Legacy databases, FTP folders, vendor flat files, and custom integrations still hold critical business data. We connect to them too, so reporting, operations, and agents can use them.
Current tools
CRM, dashboards, spreadsheets, internal tools.
Hard-to-reach data
Legacy DBs, FTP folders, vendor flat files, APIs.
Reliable layer
Definitions, checks, and alerts before data breaks.
Operational speed
Cleaner data under the tools your team uses.
From scattered systems to shared context
We pull data from SaaS tools, vendor feeds, internal databases, and custom APIs, then clean and organize it for reporting, operations, and AI.
- Connect systems off-the-shelf tools miss
- Standardize definitions across the business
- Catch data issues before they break reports
Reliable sync
Keep data current across the tools your team uses.
Shared definitions
Make key metrics mean the same thing everywhere.
Built for complexity
Handle custom systems and messy real-world data.
Idempotent Backups
Point-in-time recovery, dead-letter queues, and replays that don’t corrupt downstream state.
A team that works with your team
A fractional data and AI team that embeds with yours. In your Slack with your stack on your timeline.
Embedded, not outsourced
No wall between you and the people actually building.
- Embedded in your standups
- Shared chat with no middleman
- Direct access to the people building
Put together a dream team
Data engineering, AI, data science, analytics. Pick the mix you need for a fraction of the cost.
Stay through delivery
Not a deck-and-disappear consultancy. We build, ship, and stay through launch.
No forever dependency
Everything we build can run on your stack and your accounts.
Knowledge transfer built in
Your team learns alongside ours so the work compounds long after we wind down.
Love from our Customers
“Agreeable Data brought both simplicity and deep expertise to our complex multi-system environment. Their approach to customer identity resolution and C360, utilizing Rudderstack and dbt, enabled us to more easily connect customer data across our different internal data sources.”
“Agreeable Data was able to help us with some of our initial IT Ops and Mar-Tech needs. They have the rare ability to put together and execute a well thought out plan, quickly. Speed is important at a startup and we greatly appreciated their responsiveness and ability to execute.”
“Agreeable Data has been an invaluable partner as we continue building our customer data platform at RudderStack. They bring a strategic perspective shaped by years of hands-on experience building and operating data teams. Whether providing feedback on product direction or analyzing competitive market dynamics, Agreeable Data insights are always incisive and advance our shared mission of empowering data teams. We are fortunate to have him as part of our extended RudderStack team.”
“The Agreeable Data team was able to come and fill a critical role on our data team during a team member’s leave of absence. They were able to fulfill data requests, support internal data initiatives, and even refactor some of our data models. I am so glad we hired them to help us out!”
“I was really impressed by how quickly the Agreeable Data team got up to speed with our data and analytics systems. They hit the ground running and launched new tools and dashboards that gave us deeper insights into our marketing performance. They helped us implement a marketing attribution system, quickly became experts in it, and coached our org. I would highly recommend them.”
“The Agreeable Data team helped us with a martech modernization project that saved us over $125k annually. We got all the data we needed from our legacy system and are now very happy with our updated customer data platform. Having your martech backed by a robust cloud data platform is a game changer.”
“In two months, Agreeable Data helped us transition a large Azure database to Snowflake and dbt at an eighth of the cost and a fifth of the manpower. Then we started making things even more efficient. At one year, stability, security, development speed, and user satisfaction far exceeded our previous environment. We are not looking back.”
“If your data project includes getting on-premise data into cloud platforms, Agreeable Data is the partner you want. A lot of firms these days are focused on pure cloud, but Agreeable Data really enjoys finding the solution best for you at the best cost. We love that they are experienced in both cloud and on-premise data architectures and with both open-source and commercial tools. They listen carefully to your needs, and shortly thereafter, you will probably forget they are not full-timers on your data team.”
“Agreeable Data has helped Gulf Relay in several IT and data operations initiatives. One of them involved right-sizing our cloud infrastructure to save over $250k annually, while also improving our security posture and end-user experience. If you need a partner who can deliver real results, look no further.”
“Agreeable Data was able to help us advance our data strategy, by combining expertise in both data and business. I highly recommend.”
Build AI your company can actually own.
Start with the systems your team already uses, and turn the useful context into a managed agent that compounds over time.
Trusted by data teams at RudderStack, Enverus, Flatiron School, Marqo, CoLinx, and more.